Economics Assignment Help | Economics Homework Help

Economics Assignment Help by top Tutors at Tutorbin. Precision for a High GPA

Trusted by 1.1 M+ Happy Students

trustPilot
4.4Trust Pilot
eduReviewer
4.4Edu Reviewer
app
5App Review
student
4.8Student
WhatsApp Support

Get Instant
Online Homework Help
via WhatsApp

Get instant homework help from top tutors—just a WhatsApp message away. 24/7 hw help support for all your academic needs!

A
S
M
R
★★★★★
2M+ students trust TutorBin
Your WhatsApp Number
phone
or
⚡ Instant reply
🔒 100% private
👨‍🏫 Top tutors
🌍 All subjects
*Get instant homework help from top tutors—just a WhatsApp message away. 24/7 support for all your academic needs!
2M+ Students Helped24/7 Live SupportExpert TutorsAll Subjects CoveredInstant Response100% ConfidentialTop Rated ServiceMoney-back Guarantee2M+ Students Helped24/7 Live SupportExpert TutorsAll Subjects CoveredInstant Response100% ConfidentialTop Rated ServiceMoney-back Guarantee

Popular Subjects for Economics Homework Help

You can get the best rated step-by-step problem explanations from 65000+ expert tutors by ordering TutorBin Economics homework help.

Recently Asked Economics Questions

Expert help when you need it
  • Q1:MATH0003 A2 Investigation (30%) Assessment 2: Investigation – Disease Modelling Academic Integrity in Mathematics: all your work should be your own and it should be underpinned by integrity, which means to act ethically, honestly and with fairness. Although no referencing is required in your investigation and correct answers between students will be similar, there is NO exception to this rule in mathematics. This is an individual assessment, and at no point should you discuss your answers or working out with other students. This assessment is submitted via Turnitin and it is very obvious to Curtin university tutors who mark assessments when students have colluded (worked together), especially when answers are incorrect. Students who are found to have colluded in this assessment risk receiving a Curtin Academic Integrity notice. The below document will guide you through your investigation. All answers and working to the questions within should be entered on this document. You will be required to copy and paste graphs and tables from your Excel workings into this document. Taking a screenshot or snip may be easier than copy and pasting. For information on how to take a screenshot or snip of your screen on a Mac, click here. For information on how to take a screenshot or snip of your screen on a Windows device, click, here. Once complete, you must submit your saved Word file to the Turnitin point in the Assessments folder. Make sure you read the submission instructions and upload this document to the correct point. You will be required to work with Excel to complete this assessment, as instructed in this document. You must save all of your work on Excel and submit that file to the Blackboard submission point, below the Turnitin submission point in the assessments folder. You will receive grades and feedback directly on the Word document that you submit in Turnitin, tutors will refer to the Excel file, but will not leave grades or feedback there. Note: your assessment will not be considered submitted until BOTH the Word and Excel files have been received in the system. Non-submission of the Excel file will result in the entire assessment being treated as not submitted. Some points to note: Show as much working as possible for every question, marks are attached to your working, not just your final answer. Refer to the supporting resources in the Assessments folder for assistance with the Excel components of this assessment. Some questions have multiple parts. Make sure that you thoroughly read and answer all parts of each question. Notation: * represents multiplication ^ represents an exponent (eg x^4 represents x4 or x to the power of 4) “d.p” stands for decimal places For the following questions you will be required to analyse disease trends using the data provided in the Excel file titled “Assessment 2 – disease_modelling_statistics”. Introduction: Mathematical models can project how communicable (infectious) diseases progress to show the likely outcome of an epidemic (like COVID-19) and help inform public health interventions. The modelling can help decide which intervention(s) to avoid, which to trial or it can help predict future growth patterns. Scientists also study the incidence of non-communicable (non-transferrable) diseases such as cancer and heart disease over time and over different populations to assist with the analysis of risk factors which increase the chances of developing these diseases. In this assessment you will investigate the trends in two diseases over time, using mathematical principles learned to date. Complete the following questions using the data in the Excel spreadsheet titled “Assessment 2 – disease_modelling_statistics”. It is recommended that you attempt the Excel based questions after the completion of Topic 7 – Excel Basics. Question 1 23 MARKS AVAILABLE Coronary heart disease (CHD) is Australia’s leading cause of death. It is the term given to heart problems caused by narrowed heart arteries that supply blood to the heart muscle. When the blood flow to the heart muscle is completely blocked, the heart muscle cells die, which is termed a heart attack. Australian death rates have fallen substantially over recent decades. Advances in treatment, improving the level of care, and controlling the risk factors of death in CHD patients (such as smoking, hypertension, and overweight) are the most important reasons for the reduction in the mortality rate of this disease. For this question you will use the data in the “Australian CHD Data by Sex” tab of the supplied Excel Spreadsheet. It outlines the number of deaths (by sex*) in Australia due to CHD between 2000 and 2019 as recorded by the World Health Organisation (WHO). * WHO defines “sex” as the biological characteristics that define humans as female or male. Use the Pivot Table function in Excel to produce a cross tabulation which organises the data with the year variable down the rows and the sex variable across the columns. The cells in the table should contain the number of deaths of a given sex each year. Include column and row grand totals in your final table. Ensure your table contains an appropriate title and column/row headings. Take a snip or copy and paste this table below. [1.5 marks] For the following question you will first need to copy and paste the values from the pivot table created in 1a) into a new tab of your Excel spreadsheet. Be sure to paste using the ‘values only” option, not the formatting as well. Name this tab “CHD by sex & year” In this new tab, add an additional column in between the “year” and “sex” columns and title it “years since 2000 (t)”. Fill this column with appropriate values e.g. 2000 t = 0, 2001 t =1 etc. Using Excel and the table, create a line graph which represents the relationship between the variables time since 2000 and the number of deaths from CHD between 2000 and 2019 for both sexes. Your final graph should have two lines on one set of axes. Take a snip or copy and paste your graph below. Hints: Determine the dependent and independent variables and which axis they should be situated on. Ensure your graph contains all relevant information and features. [2.5 marks] What type of function does the number of CHD deaths data appear to be? [ 0.5 mark] Explain what features of your graph support your answer in part b)ii. [1 mark] Describe the trend you can see in CHD death rates over time. Compare the similarities and differences between the sexes. [1.5 marks] Use Excel to add a linear trendline & trendline equations to both the male and female lines. Take a snip of your graph with trendlines and paste below. In addition to pasting your graph into this document, type the trendline equations here: Male: Female: [1.5 mark] Given y = mx + c is the standard slope-intercept format of a linear equation: what is the m value in your trendline equation identified above: for the male trend line? [0.5 mark] for the female trendline? [0.5 mark] Explain what the m values represent in the context of this scenario? In your explanation interpret the differences between the male and female values. [1 mark] what is the c value in your trendline equation identified above: for the male trend line? [0.5 mark] for the female trendline? [0.5 mark] Explain what the c values represent in the context of this scenario? In your explanation interpret the differences between the male and female values. [1 mark] In Excel, create two pie charts which display the proportion of male vs female Australian CHD deaths in the year 2000 (pie chart 1) and in the year 2019 (pie chart 2). You should have one pie chart for each year. Take a snip of the two pie charts and paste below. [2 marks] Discuss the differences between the two pie charts in the context of deaths due to CHD by sex in 2000 and 2019. [1 mark] Was the difference observed in your pie charts in part f expected based on the differences in the trendlines for both male & females – yes or no? Justify your response by linking the differences in the pie charts to the male and female trendlines. [2 marks] Write one linear equation which can be used to predict the total number of deaths from CHD in Australia in any given year since 2000. Hint: total number of deaths = # male deaths + # female deaths [1.5 marks] Use your trendline from part g)i to predict the total number of people (male and female sex) who will die from CHD in the year 2030. [1.5 marks] Use your trendline from part g)i to predict the year the number of annual deaths due to CHD will have been reduced to 10,000 people. [2.5 marks] Question 2. 19 MARKS AVAILABLE When comparing mortality trends over time between nations, it is important to also take into consideration the population size at any given time. The mortality rate is often expressed as the number of deaths per 100,000 people. For the following questions you will refer to the data in the “CHD mortality nation comparison” tab in the Excel spreadsheet. Using skills covered in Topic 7 – Excel Basics, format the data in the table to achieve the following: Alter the column width appropriately Bold the column headings Add the filters to the column headings, so that data can be filtered if required Freeze the top row so you can scroll down and always have the column headings in view Take a snip or copy and paste the top section of your table below. [1.5 marks] Insert a column to the right of the number of deaths column and title “deaths/100,000”. Using the values in the “number of deaths” column and the “nation population” column, determine the equivalent death rate per 100,000 for each year for each nation. To do this, use an Excel formula to calculate the appropriate “deaths/100,000” value for one cell in this new column (to 2 decimal places). Apply this formula to all cells in this column. Once done, click on any value in this new column, take a snip of the first 10 rows with the highlighted cell and the formula bar with the underlying calculation. Paste the image below. [ 2 marks] Use the Pivot Table function in Excel to organise the raw data in a table which displays the number of deaths per year for each nation. Place the year variable in rows and the nation variable in columns. Ensure your table contains an appropriate title and column/row headings. You do not need to include grand totals. Take a snip or copy and paste this table below. [ 1.5 marks] Using the pivot table created in part c)i, create line graphs which represents the relationship between the year and the number of deaths from CHD between 2000 and 2019. Your final product should be one graph with 4 lines - one representing each nation. Take a snip or copy and paste this graph below. [2.5 marks] In which nations, has the number of deaths from CHD each year increased over time? [1 mark] In which nations, has the number of deaths from CHD each year decreased over time? [1 mark] Use the Pivot Table function in Excel to organise the raw data in a table which displays the deaths per 100,000 people, per year for each nation. Place the year variable in rows and the nation variable in columns. Ensure your table contains an appropriate title and column/row headings. You do not need to include grand totals. Take a snip or copy and paste this table below. [ 1.5 marks] Using the pivot table created in part d)i, create line graphs which represents the relationship between the year and the number of deaths/100,000 from CHD between 2000 and 2019. Your final product should be one graph with 4 lines - one representing each nation. Take a snip or copy and paste this graph below. [ 2.5 marks] Which nation has had the most stable CHD deaths/100,000 rate between 2000 & 2019? What feature of the graph explains your response. [1 mark] Use your pivot tables and/or graphs in part c) & d) to complete the empty cells in the table below. You only need to enter the names of the nations. You do not need to include values. For example, in the red cell below you should type the name of the nation which had the greatest number of deaths due to CHD in 2020. [2 marks] Country Comparison of Mortality due to CHD in 2000 & 2019 Rank (1=highest; 4=lowest) Total deaths in 2000 Total deaths in 2019 Deaths/100,000 in 2000 Deaths/100,000 in 2019 1 2 3 4 Compare and contrast both the number of deaths due to CHD and the deaths/100,000 rates between Brazil and Australia. In your response discuss the changes over time, the trends (growth/decline) and compare the values. [2.5 marks] Question 3. 18 MARKS AVAILABLE The global emergence of the coronavirus (COVID-19) marks a significant worldwide outbreak of an infectious disease caused by the severe acute respiratory syndrome SARS-CoV-2. Cases were first detected in China in December 2019, with the virus spreading rapidly to other countries across the world. This rapid transmission prompted the World Health Organization (WHO) to declare it a pandemic (worldwide spread of a new disease) in March 2020. For the following questions you will refer to the data in the “US COVID Cases 20_21” tab in the Excel spreadsheet. a) Using Excel, create a line graph which represents the relationship between the variables time (the number of weeks) and the number of COVID cases in the US between 19/1/2020 (case #1) and 24/1/2021. For the time variable, t, use values which represent the number of weeks since case #1. i.e. on 19/1/2020 t=0; on 26/1/2020 t = 1; on 2/2/2020 t = 2 etc. For the number of COVID cases variable, format the axis to display the units in “millions”. Take a snip or copy and paste your graph below. Hints: Add an additional column to your spreadsheet called “weeks since case #1” and fill with appropriate values e.g. 20/1/2020 t=0; on 26/1/2020 t = 1 etc. Determine the dependent and independent variables and which axis they should be situated on. Ensure your graph contains all relevant information and features. [2.5 marks] b) i. What type of function does the number of COVID-19 cases in the US over this period of time appear to be? [0.5 mark] Explain what features of your graph support your answer in part 3b)i. [1 marks] c) Add a fourth column to your table in Excel which indicates the “growth factor” from the week before. To do this, divide each week’s number of cases by the number of cases of the week before. This first three values have been completed for you. You must perform the calculations in Excel (not manually, using a calculator). Extend this formula for the entire table to calculate the growth factor to 5 d.p. Click on one of the cells in your growth factor column, take a screen shot showing your table (minimum of the first 10 lines) with the highlighted cell and the formula bar with the underlying calculation. Take a snip or copy and paste that screen shot below. Weeks since case #1 Number of Cases Growth Factor 0 1 1 4 4.00000 2 9 2.25 3 20 2.22222 4 24 1.2 [2 marks] Use Excel to calculate the average of the growth factor values without the outlier values included in the calculation. The outlier values you are to exclude in the calculation of the average, are the two largest growth factor values. What is the average factor (5 d.p.)? Click on the average value in Excel, take a snip of the average cell and the formula bar to show how you used an Excel formula to find this average. Paste the image below. [1 mark] The general form of an exponential equation is y=ka^t. Consider the table above of the number of COVID-19 cases in the US and the average growth factor in relation to the general form of an exponential equation as you answer these next questions: What does the “y” in the general form “y=ka^t” represent in the context of the relationship between the number of COVID-19 cases and weeks since case #1? [1 mark] What does the “k” in the general form “y=ka^t” represent in the context of the relationship between the number of COVID-19 cases and weeks since case #1? Give its value and explain. [1.5 marks] What does the “a” in the general form “y=ka^t” represent in the context of the relationship between the number of COVID-19 cases and weeks since case #1? Give its value and explain. [1.5 marks] What does the “t” in the general form “y=ka^t” represent in the context of the relationship between the number of COVID-19 cases and weeks since case #1? Explain. [1 marks] Use your answers from parts d) i-iv to construct an exponential equation describing the relationship the number of COVID-19 cases and weeks since case #1. [1 mark] e) Use your formula from part Q3d)v to predict the number of COVID-19 cases in the US on 31/1/2021. Show all working. [2 marks] The exponential nature of communicable diseases like COVID-19, not only applies to the nature in which the disease can spread, but also in how the number of cases can reduce. Every case of COVID-19 that is prevented cuts off transmission chains, which prevents many more cases down the line. That means the same precautions that reduce transmission enough to cause a big drop in case numbers when cases are high, translate into a smaller decline when cases are low. Those changes add up over time. For example, reducing 1,000 cases by half each day would mean a reduction of 500 cases on Day 1, a reduction of 250 cases on Day 2, 125 cases on Day 3 but only 31 cases on Day 5. Below is a graph which demonstrates this. It displays the number of COVID-19 cases in the US between December 2020 and February 2022 and the following questions will refer to it. Dec 20 Jun 21 Jul 21 Aug21 Sept21 Oct 21 Nov 21 Dec 21 Feb 21 Feb 22 Jan 22 May 21 Jan 21 Mar 21 Apr 21 TOTAL COVID-19 CASES - USA f) i. Approximately what month/year recorded the greatest number of COVID-19 cases? [0.5 mark] ii. Approximately what month/year recorded the least number of COVID-19 cases? [0.5 mark] iii. Identify one period in which exponential growth of COVID-19 cases occurred & identify one period in which exponential decay of COVID-19 cases occurred. Don’t just give a month, provide the range of time in which growth/decay has been observed. Make it clear in your response which period of time represents growth and which represents decay. [1 mark] iv. What period experienced the greatest rate of growth? Don’t just give a month, provide the range of time in which the greatest rate of growth has been observed. [0.5 mark] v. What period were cases the most stable? Don’t just give a month, provide the range of time in which cases were stable. [0.5 mark] End of Assignment World Health Organization (2023) WHO COVID-19 Dashboard – United States of America. https://covid19.who.int/region/amro/country/us World Health Organization (2023) WHO Mortality Database - Ischaemic Heart Disease https://platform.who.int/mortality Total /60 Total /30 Late Penalty __ days late = __ % deduction = ____ mark deduction Final score /30See Answer
  • Q2:SQL and Tableau: Attached is a copy of the query that I am working with. And some of the output you would see. To give you some context on what is being accomplished with this query: I am interested in calculating percentage (work done vs. remaining) based on several factors for each table_name(record). In the query business_steward is returned as an array. I have a separate query showing how to retrieve names based on this array – but didn’t see how to add this to the first one. The factors are: • Domain • Critical Data Asset • Title • description • Steward (analysts doing work) • Marketplace_links I would like to see a stacked bar chart running horizontally (one for each of the factors above – being in the has/has count. I would like to have a dynamic filter based on Steward/Domain. And as you apply filters - beneath this bar chart will be a list of records showing the resultset based on filter(s) applied the query showing the value - i added fields to show - has(specific factor)See Answer
  • Q3:Excel case Public Television Case The deliverable (two parts, both due at the same time): The first part of the deliverable is a spreadsheet that will show a pseudo budgeted income statement and cash flow, based on the given assumptions. The second part is a word document with your recommendations on how management should proceed. Name both the word document and the spreadsheet with your last name – so I would name them shepherd.doc and shepherd.xlsx You will lose 10% for not following all of this, so save your files now so you won’t forget to do so later. Background: You work for a public television station. You are running a week-long campaign in an effort to get donations. You run spots (sales pitches for money) and offer promotional gifts. The two gifts under consideration are an umbrella, and a one-year magazine subscription to a popular magazine. If a viewer donates $45 they will get the umbrella, and if they donate $50 they will get the one-year magazine subscription. The campaign will last for 7 days, and will run for 12 hours each day. You will do one sales pitch each hour and will offer either the umbrella or the magazine subscription, but not both during the same pitch. Each sales pitch can be considered a spot. One problem is that you must purchase the gifts (umbrellas and magazine subscriptions) in advance. The cost is $25 for each umbrella, and $25 for each magazine subscription. The question for you is how many magazine spots and how many umbrella spots should the station air during the campaign, given the goal of maximizing net income? Important facts: Typical audience size during any hour is expected to be 100,000 homes (different homes each hour, but 100,000 on average). Your marketing experts say that 1% of the homeowners will respond positively to an umbrella spot (they will purchase an umbrella) and 1.5% of the homeowners will respond positively to a magazine spot (they will purchase a magazine subscription). For example, if 10 umbrella spots are run, 100,000 people see each spot and you will have 100,000 * 10 * .01 umbrella purchases. Based on prior campaigns, management knows some viewers who make a donation for a gift will spontaneously donate money again at a later time (not for a gift, but just because they are great people). This gift is $25. Management estimates that 25% of the umbrella recipients will do this, and 10% of the magazine recipients will do this. Management wants at least 30 spots to be run for each gift. Management wants to earn as much net income as possible. How many of each spot should be run? The first part of your deliverable is the spreadsheet where you used the Solver tool showing the maximized net income and binding constraints given the above situation and constraints. The second part is a word document with your recommendations on how management should proceed. While there are about seven different recommendations you can make, I’m looking for four recommendations. The original spreadsheet answer will be your first recommendation. It is probably obvious, but you can’t make recommendation #1, then make recommendation #2, then combine recommendations #1 and #2 into recommendation #3. So each of the recommendations should be different from the other recommendations. Your recommendation should be something that came from the binding constraints in your spreadsheet. So it isn’t realistic for you to say the spreadsheet results suggest that hiring a famous person to give the pitches will result in a 25% increase in net income. Hiring a famous person may do that, but you would be hard pressed to support that number. Along the same line, don’t just suggest that we raise prices for the umbrella or the magazine. Include the net income figure with each recommendation. Suppose the original spreadsheet shows that you should run 1 spot for umbrellas and 1 spot for magazines (it won’t but this is just an example). You would write: Rec. 1: given the constraints we should run 1 umbrella spot and 1 magazine spot for a net income of $$$.See Answer
  • Q4:Answer to other student's solution in 100 words Solution :- Impact on Production and Costs - Current employment: 50 people - Current production: 12,000 vests per month - When hiring one more person (total 51 workers), production increases by 200 vests. - Monthly wage per worker: $1600 The additional production per month will be 200 vests when they hire the 51st person. This increase in production is the marginal product of labor (MPL) for the 51st worker. 2. Average Variable Cost (AVC) Average Variable Cost (AVC) is calculated as Total Variable Cost (TVC) divided by the quantity produced. The TVC is also concerned with labour costs, since labor has been the sole variable factor for production in this scenario. Hiring an additional worker increases the total variable cost (TVC) by $1600 (the wage of one worker). ·AVC = TVC / Quantity We need to know the relationship between TVC and volume in order to determine the impact on AV. AVC will be dependent on how these changes affect each other, given that TVC is increased by $1600 and the quantity of vests increasing by 200. If the additional 200 vests produced by hiring the 51st worker lower the AVC (because the increase in quantity outpaces the increase in TVC), then AVC will fall. Conversely, if the increase in TVC is not outweighed by an increase in volume, AVC will be increased. 3.Marginal Cost Marginal Cost is the cost of producing one additional unit of output. When the 52nd worker is added: Marginal Product of Labordrops to 160 vests per month. This means the 52nd worker contributes 160 additional vests per month, compared to the 51st worker who contributed 200 vests. Changes in production and costs have an impact on the margin. With a decrease in the number of MPL vests to 160: - The additional cost of hiring the 52nd worker ($1600) divided by the decrease in output (40 vests, because from 200 vests to 160 vests) determines the change in MC. The MC will increase if the decrease in production per worker is not offset by a reduction in costs. This is due to the fact that each additional worker makes a smaller contribution to production, which leads to an increase in productivity.See Answer
  • Q5:Instructions Need to submit Eview file and report Selected country - Japan, US and Germany GDP, inflation and unemployment rate must use EViews Software 1. Please collect three primary macroeconomic time series data for three different countries. Conduct unit root test, JJ, and two steps EG cointegration test, ECT, and short-run causality for the same variable for each country. 2. Develop an econometric model utilizing the ARDL technique for the three variables employed in your previous assignment (question No.1). Once the model is established, conduct both ARDL and NARDL estimations using the same framework. Pay particular attention to the econometric specification tests, and provide interpretations for the estimated parameters.See Answer
  • Q6:Assignment-3 MSCA31010: Linear & Non-Linear Models (Acknowledgement: Special thanks to Francisco Azeredo & Ming_Long Lam for their content creation support) For this homework, you can use either R or Python, use Word docs, R-markdowns, Jupyter notebooks, or html’s for submission. Train a binary logistic regression model on the claim_history.csv. Your model will predict the likelihood of filing more than one claim in one unit of exposure. You will first calculate the Frequency variable by dividing the CLM_COUNT by EXPOSURE. Next, you will create a binary target variable that determines if the Frequency is strictly greater than one (i.e., the Event). You will use MSTATUS, CAR_TYPE, REVOKED, and URBANICITY as the categorical predictors, and CAR_AGE, MVR_PTS, TIF, and TRAVTIME as the interval predictors. Your goal is to train a model that has just the right set of predictors. The standard libraries for R or Python are allowed. You need to drop all missing values (i.e., NaN) of all the predictors and the target variable before training your model. (15 points) Before you train the model, we want to explore the predictors. For each predictor, generate a line chart that shows the odds of the Event by the predictor’s unique values. The predictor’s unique values are displayed in ascending lexical order. (20 points) Enter the predictors into your model using Forward Selection. The Entry Threshold is 0.05. Please provide a detailed report of the Forward Selection. However, you do not need to show steps such as in the previous question. The report should include (1) the predictor entered, (2) the log-likelihood value, (3) the Deviance Chi-squares statistic, (4) the Deviance Degree of Freedom, and (5) the Chi-square significance. (10 points). Which predictors does your final model contain? (10 points). Please show a table of the complete set of parameters of your final model. Please also include the exponentiated estimates (i.e., apply the exp() function on the parameter estimates). 2. You will visually assess your final model in Question 1. Please color-code the markers according to the Exposure value. Also, please briefly comment on the graphs. (10 points). Please plot the predicted Event probability versus the observed Frequency. (10 points). Please plot the Deviance residuals versus the observed Frequency. 3. (15 Points) You will calculate the Accuracy metric to assess your final model in Question 3. If the predicted Event probability of an observation is greater than or equal to 0.25, then you will classify that observation as the Event (i.e., filing more than one claim per unit exposure). An observation is correctly classified if the predicted target value equals the observed target value. The Accuracy metric is the proportion of observations that are correctly classified. Bonus: (20 Points) For questions 1B, 1C and 1D apply recursive feature elimination (RFE) instead of Forward Selection (see: https://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFE.html )See Answer
  • Q7:100 words To determine the marginal product of the 51st worker at Lighthouse Safety Vest Co. and the marginal cost of producing one more vest, we delve into the concepts of marginal analysis in economics. Marginal product refers to the additional output generated by employing one more unit of a variable input, in this case, labor. The marginal cost, on the other hand, reflects the additional cost incurred by producing one additional unit of output. Initially, Lighthouse Safety Vest Co. employs 50 workers and produces 12,000 vests per month. Upon hiring the 51st worker, the monthly vest production increases by 200 vests. This increase of 200 vests constitutes the marginal product of the 51st worker. To calculate the marginal product of the 51st worker: Marginal Product of 51st Worke = Change in Output = 200 Now, turning to the marginal cost, we consider the additional cost incurred by hiring one more worker, which is the worker's monthly pay. Lighthouse Safety Vest Co. pays workers $1600 per month. Therefore, the marginal cost to produce one more vest can be calculated as: Marginal Cost = Additional Worker's Pay/Change in Output = 1600/200 = $8 per vest This calculation shows that each additional vest produced costs the company $8 in additional wages when they hire the 51st worker. Understanding these marginal concepts is crucial for businesses like Lighthouse Safety Vest Co. as they strive to optimize production and manage costs effectively. Marginal analysis helps firms make decisions regarding optimal resource allocation and production levels, ensuring they operate efficiently and profitably in competitive marketsSee Answer
  • Q8:4. A university is about to buy a new 3D printer. There are two alternatives available. a. The HP printer which is more expensive to buy but also faster. b. The Canon printer which is cheaper but slower Processing times and times between job arrivals are exponential > M/M/1 model. . 1 = 10 jobs per day . MHP = 20 jobs per day . He = 15 jobs per day The buying and waiting costs: . buying price: CHP = $15000, Cc = $10000 . The waiting cost per job and time unit is estimated to be $500 per job and day. Which printer should the university choose in order to minimize the expected costs?See Answer
  • Q9:Climate Change Economics Lab Assignment 1 UC Berkeley | Summer 2024 The model that you have to build this week has two components: a climate dynamics model (Section 1) and a simple carbon cycle model (Section 2). Section 1 Overview This section has two parts: 1) you will build a very simple physical climate model in Excel and 2) analyze some very simple CO2 concentration scenarios with that model. 1.1: Modeling Overview The input (or forcing) to the climate dynamics model is yearly atmospheric CO2 concentrations, measured in ppm. The output of the climate dynamics model is the yearly average temperature increase over pre-industrial temperatures in °C. The forcing to the climate dynamics model is provided to you in the Excel file "CCE Assignment 1 - Forcings.xlsx". Your model will run in yearly time steps, and will start in the year 2010 and run to the year 2300, Climate Dynamics Model The climate dynamics model you will build has two parts: the first part computes how much extra energy is warming the atmosphere due to climate change and what the long term temperature effect of that extra energy would be. The second part computes the predicted yearly global average temperature increase over time. The amount of extra energy caused by rising CO2 concentrations is called the radiative forcing and is measured in W/m2. The equation to compute this variable is (1) rfcº2= 5.35ln- Cpre Ct rf.CO2 is the radiative forcing at time t caused by CO2 in W/m2. Ct is the atmospheric CO2 concentration at point t in ppm, as provided in the forcing file. Cpre is the pre-industrial level of 1 atmospheric CO2 concentrations, and you should use 275 ppm for this. In(x) is the natural logarithm, the Excel function name for it is "=LN(x)". Other greenhouse gases also contribute to global warming, and they further increase radiative forcing. You are not going to model the effect of these other greenhouse gases explicitly for this exercise, but our model should nevertheless account for them. Consequently, we will integrate the forcing caused by other greenhouse gases as a forcing that is supplied to you as part of this exercise in the file "CCE Assignment 1 - Forcings.xlsx". For the remainder of this assignment, I will refer to the radiative forcing of other greenhouse gases as r ft fother The total effect of global warming, that is all greenhouse gases, is computed as rft = rft f.C02 +rfother (2) for time t. The next step in the model is to compute the warming that would occur if a given level of radiative forcing would be sustained for a very long time. The equation for that is (3) Te = 1 x rft Here Te is the increase in global average surface temperature over pre-industrial levels if the radiative forcing of rft were to be held constant for a very long time. 1 is called the climate sensitivity and you should set it to 0.8 for this exercise. The final step is to compute the actual temperature for each time step. We will use a very simple delay formulation. For each time step we will first compute the difference between the temperature in the previous year and the temperature that the system would reach if radiative forcing were to be held constant for a very long time (Te - Tt-1). We then assume that the actual temperature will warm by a very small fraction of this computed difference. The equation for this process is (4) Tt =Tt-1 + u(Te -Tt-1) Tt is the quantity we are really interested in, the global average temperature increase above pre- industrial times in °C at time t. u is the parameter that controls the delay of the warming, and you should set it equal to -. As this equation relies on the temperature in the previous time period we cannot use it to compute Tt for the first time period of our model. For the first time period you should set T2010 to 0.8, roughly today's observed warming over pre-industrial temperatures in °C. 1.2: Policy Analysis Question 1a: What happens to projected temperature if CO2 concentrations were held constant at 2010 levels in the model? You should copy the Excel sheet that contains your model for this exercise. The new sheet should have the model output with constant concentrations. 2 Question 1b: Create two graphs, one for CO2 concentrations and one for temperature. The x- axis should have years on it for both graphs. Then plot each of the two cases analyzed (base case and constant concentrations) as one line. You should create a new empty sheet in Excel, and then reference the values in all the other sheets as data for your chart. Section 2 Overview This section has two parts: 1) you will add a very simple carbon cycle model to Section 1; 2) analyze some very simple CO2 emission scenarios with that new model. 2.2: Modeling Overview You will now build a carbon cycle model and couple it with the climate dynamics model you built in Section 1. The input (or forcing) to the carbon cycle model are yearly emissions of CO2, measured in Mt C (megatonne carbon = 1 million tonne carbon). The output of the carbon cycle model is atmospheric concentrations of CO2, measured in ppm (parts per million). The two components are coupled via the atmospheric concentration of CO2, i.e. the output of the carbon cycle model is an input to the climate dynamics model. The forcing to the carbon cycle model (CO2 emissions) is provided to you in the Excel file "CCE - Assignment 1 Forcings.xlsx". Carbon Cycle model The carbon cycle model you will implement is a simple five-box model. The five boxes don't correspond to anything in the physical world; they are purely an abstraction that as a whole mimics the results from much more complicated models. In this model, all atmospheric CO2 concentrations live in one of five boxes. If one wants to compute the total atmospheric CO2 concentration at a point in time, one simply adds the amount of CO2 in each of the five boxes up. Over time, CO2 disappears from each of these boxes, at different rates for each individual box. On the other hand, new anthropogenic CO2 emissions are added each year into the atmosphere. In the five-box model these yearly influxes of new CO2 into the atmosphere are distributed by fixed shares into the five boxes: 13% percent go into the first box, 20% into the second, 32% into the third, 25% into the fourth and the remaining 10% into the fifth box. There are consequently five variables that represent the five boxes and each of these variables takes on a different value in each year. The equation that is used to compute the amount of CO2 in box i (which takes values from 1 to 5) at time t (which takes on value from 2010 to 2300) is: (5) Boxi,t = ai X Boxi,t-1 + YißEt 3 Boxit is the amount of CO2 in box i at time t, measured in ppm. ai is the share of CO2 in box i that stays in the atmosphere until the next time period (so 1 - ai is the share of CO2 that disappears each year from box i). Yi is the share of emissions that goes into box i. ß is a unit conversion factor: CO2 emissions in our model are measured in Mt C, but atmospheric CO2 concentrations are measured in ppm; ß converts from the unit Mt C to CO2 ppm. Et are world total emissions of CO2 in year t, measured in Mt C. You cannot use this equation to compute the values for each box in the first time period, i.e. in the year 2010: the equation for that year would rely on the values for this box in the previous year, but our model only starts in 2010. Therefore, for the first year only, you should not use equation (5) but instead use initial values for each of the five boxes that are provided below as Boxi,2010- The values for the forcing Et are provided to you as an Excel file. You should use the following values for ai, Yi, Boxi,2010 and ß: @1 =1 Y1 = 0.13 Box1,2010 = 301.099 ₿ = 0.00047 a2 = exp - 363 1 Y2 = 0.2 Box2,2010 = 30.098 a3 = exp - 74 1 Y3 = 0.32 BOX3,2010 = 34.878 1 a4 = exp - 17 14 = 0.25 Box4,2010 = 12.357 112 Y5 = 0.1 BOX5,2010 = 0.897 The values for some of the ai are little equations themselves, you can enter them directly in Excel as a formula, e.g. for a2 you would enter "=EXP(-1/363)" as the Excel formula. The final step in the carbon cycle model is to compute atmospheric CO2 concentrations at each point in time: (6) Ct = >Boxit = Box1,t + Box2,t + Box3,t + Box4,t + Box5,t i=1 5 Ct is the atmospheric concentration of CO2 at time t, it is simply the sum of the five boxes at that time. Coupling To couple the climate dynamics model with the carbon cycle model you need to make a change to the climate dynamics model you built in Section 1: you should replace the values in the row 4 that had the CO2 concentration forcing in the climate dynamics model with a formula that references the output from the carbon cycle model. 2.2: Policy Analysis Question 2a: What happens to projected temperature if CO2 emissions were held constant at 2010 levels in the model? You should copy the Excel sheet that contains your model for this exercise. The new sheet should have the model output with constant emissions. Question 2b: By how much % would we need to reduce emissions in each year to keep global warming below 2° over the next 300 years? First, copy the model sheet and do all your analysis in the new sheet. The easiest approach is to modify the line that has emissions in such a way that starting with the second time step you use an equation to compute emissions. Assuming that the cell for emissions in the year 2011 is C24, the Excel formula might look like "=B23*(1-$B$20)". In this case the cell B20 would have the percent reduction in emission per year in it and you could quickly change the emissions profile by changing the value in cell B20. Finally, you might want to have one cell that displays the maximum temperature increase over the model time horizon. Assuming the predicted temperatures are in cells B48 to KF48, you might add a cell that has the equation "=MAX(B48:KF48)" in it to help you. Question 2c: If emissions stay as they are specified in base case until the year 2049, and are then reduced by a fixed percent each year, how much would they have to be reduced in percent in each year to keep global warming below 2° over the next 300 years? Again, copy the model sheet and do your analysis on the new sheet. The steps for this exercise are similar to the steps for the previous question. Question 2d: Create three graphs, one for CO2 emissions, one for CO2 concentrations and one for temperature. The x-axis should have years on it for all three graphs. Then plot each of the four cases analyzed (base case, constant emissions, reduction in emissions starting now, reduction in emissions starting in 2050) as one line. You should create a new empty sheet in Excel, and then reference the values in all the other sheets as data for your chart. 5See Answer
  • Q10: Back to my LMMS Wk 5 - Apply: Assignment [due Day 7] Download the TitanicTrain and TitanicScore data files. The training data file contains attributes of actual passengers aboard the Titanic when it sank in the northern Atlantic Ocean on April 15, 1912. The scoring data set contains 100 fictitious people. You will build a logistic regression model using the actual Titanic data and then use the model to predict the survival status of the fictitious people in the scoring data set. To understand the attributes: ⚫ The TicketNumber and PassengerName attributes identify the passengers. TicketNumber does not exist in the scoring data because the fictitious people were not actually on the ship. You will predict what their fate likely would have been had they boarded the ship. • The Sex attribute is binary: 0 = female; 1 = male. • The Age attribute is the passenger's age in years. In the training data, some fractions of a year are included, and in some cases, the passenger's age was not recorded. • The SiblingsAndSpouses attribute gives the number of brothers and sisters and/or spouses the passenger had on board the Titanic with them. For example, if a married couple boarded the Titanic with their two unmarried children, the husband and wife would each have 1 in this attribute (each other), and the children would likewise each have 1 in this attribute (each other). • The ParentsAndChildren attribute gives the number of parents and/or children the passenger had on board the Titanic with them. Continuing the example above, the mother and father would each have 2 in this attribute (their two children), and the children would likewise each have 2 in this column (their mother and father). ⚫ The PassengerClass attribute indicates the level of luxury the passenger booked: 1 = first-class, most expensive on the upper decks of the ship; 2 = second class, less expensive in the middle decks of the ship; 3 = third class, least expensive in the lower decks of the ship. The Fare attribute is the amount of money the passenger paid for their ticket. • The SurvivalStatus attribute exists only in the training data set and indicates whether each passenger lived or died when the ship sank. Complete the following steps: 1. Import both the training and scoring data sets into RStudio. Name each of them descriptively. For simplicity in building the model, you may wish to attach() the training data set. 2. Using the glm() function in R, build a logistic regression model using the SurvivalStatus attribute as the dependent variable and all of the other attributes except TicketNumber and PassengerName as independent variables. Ensure the model is stored in a descriptively named object in R. Apply the as.factor() function in R to the dependent variable, and ensure that the glm() model's family parameter is: family-binomial() 3. Apply the summary() function in R to the model so that you can evaluate the statistical significance of the independent variables. 4. Using the predict() function in R and type="response", apply the logistic regression model to the scoring data. Create a new data frame that combines the model's predicted outcomes with the individual observations in the scoring data. Name this data frame descriptively and view it in RStudio. Answer the following questions using the model. 1 Examining the summary() of the logistic regression model, how many of the independent variables are not statistically significant at the 95% confidence level (0.05 alpha)? One independent variable is not statistically significant. Two independent variables are not statistically significant. All independent variables are statistically significant. Four independent variables are not statistically significant. 2 Examining the z values in the summary() of the logistic regression model, which independent variable is the single best predictor of SurvivalStatus? 3 4 Fare Age PassengerClass ☐ Sex Examining the z values in the summary() of the logistic regression model, which independent variable describing families traveling together is a better predictor of Survival Status: SiblingsAndSpouses or ParentsAndChildren? Both of these independent variables are equally good predictors of SurvivalStatus. ParentsAndChildren is a better predictor of SurvivalStatus than SiblingsAndSpouses. There is no way to tell in this model. SiblingsAndSpouses is a better predictor of SurvivalStatus than ParentsAndChildren. K K The standard explanation regarding the evacuation of the Titanic is that women, children, and first-class passengers were allowed to board the lifeboats first, thus increasing their chances of survival, while passengers in lower classes (second and third) and older, male passengers were required to wait to evacuate. Does this model support the standard explanation? No. PassengerClass, Sex, and Age are not strong predictors of SurvivalStatus. Partially. Age is a strong predictor of SurvivalStatus, but Sex and PassengerClass are not. Partially. Sex and Age are strong predictors of SurvivalStatus, but PassengerClass is not. Yes. PassengerClass, Sex, and Age are all strong predictors of SurvivalStatus. 5 Examining the data frame containing the predictions for the scoring data set, how many of the fictitious people are predicted to survive the Titanic disaster (Predicted Response scores greater than 50% )? ☐ 66 6 100 ப0 34 What is the age of the person in the scoring data set who is predicted to survive the Titanic disaster with a 52.7% probability? 49 17 2 ☐ 34 7 What is the name of the person in the scoring data set who has the highest predicted survival probability? Warren Guerrero Tracey Mcgee Renee Cortez Kellie May 8 Of the passengers in the scoring data set who are younger than 10 years old, how many are predicted to survive? 9 3 ☐ 0 12 9 There are several male, first-class passengers in the scoring data set who are older than 65. How many are predicted to survive? 10 ☐ 3 0 9 12 Of the women in the scoring data set who would have been traveling with at least one parent or child, how many are predicted to survive? 1 49 26 45See Answer
  • Q11: Scenario You work as a middle manager for one of the top U.S. producers of luxury and mass-market automobiles and trucks. The chief technology officer (CTO) of the company from the course scenario has been watching new technology developments that the company could integrate into its vehicles to enhance the usefulness of and access to the data acquired by the many digital sensors that have been integrated into vehicle subsystems over the past 20-30 years. The technology trend of particular interest is the internet of things (IoT)- the interconnection of embedded devices, such as sensors and computers, over the internet. By taking advantage of this trend, the CTO believes the company can seize an opportunity to provide better service and predictive maintenance to its customers, improving customer satisfaction and adding additional revenue streams. Based on briefings by the CTO, senior management has decided to implement loT in its product line. Your CTO has asked you to lead a cross- functional team to take this initiative forward. Your first task is to make a recommendation for how the company should approach this business problem. Do you recommend using incremental or discontinuous (that is, slow or fast) innovation? Specifically: Should the company... A. Design a completely new product line, based on the new technology (discontinuous innovation) or B. Add new technology features into one model and then incrementally into the broader product line (incremental innovation) The recommendation you and your team make is an important first step in pursuing this new technology. In Milestone One, you and your team defined what that innovation looked like: would it be disruptive (new product line) or incremental (new features in one existing product)? In Milestone Two, you developed a strategy plan and a high-level business model. You've shared these with various stakeholders, and they are in agreement with your assessment of how best to get to market with this loT innovation, which will allow the company to be competitive. Now, the CTO has asked you to come up with a proposed organizational structure that will support the innovation implementation. In this way, you will be assisting in making the innovation sustainable for the company from the course scenario. Companies that are innovative must make sure they have structured the organization in a way that supports innovation, and a key component of innovation is keeping track of what their customers want in terms of products and services. Directions Complete each of the three parts of this project. Use your slides from Milestone One, your document from Milestone Two, and feedback on Milestone One and Milestone Two to complete the first two parts of your presentation. You can use the resources in the Supporting Materials section (below) for any other information you will need to complete your project. Part One: Innovation Approach In this section, share your revised slides from Milestone One and make your recommendation for the innovation approach you think the company should pursue. Ensure this section includes the following information: 1. Explain potential risks and benefits for options A and B. • Overview (1 slide): Present the business problem and options A and B. • Option A (1-2 slides): Explain at least two potential risks and benefits for option A. • Option B (1-2 slides): Explain at least two potential risks and benefits for option B. 2. Compare your competition's products and services. • Competitors: (3-4 slides): Evaluate the competitors' current products and services. • What are your competitors' current products and services? • Are your competitors expanding in the current market? Explain how this impacts their market strength. 3. Analyze your company's capability to pursue the innovation. • Complete a partial gap analysis (2 slides): • Does the company own the technology, or does it need to be purchased? • How is the technology currently being used in today's products and services? • What type of technology is available to purchase? 4. Recommend the innovation approach your company should pursue. • Innovation Approach (2 slides): Explain which innovation approach you are recommending and why. • Consider the different stakeholders (research and development [R&D], marketing, finance) while communicating your recommendations. • Include a description of the incremental or discontinuous product that you are recommending for R&D. • Include the sales forecasts for marketing. • Include a financial snapshot for finance. Part Two: Strategic Plan In this section, share your revised paper from Milestone Two, which provides an overview of your competitors' position in the marketplace, the available and future marketplace, and a plan for how to address a change in business conditions. Ensure this section includes the following information. 1. Analyze the competitors' relative strengths in the marketplace. Use Power BI to create charts on the growth rates. • What is the growth rate of each competitor? • How much of the market does each competitor now own? Do you see a trend of gaining or losing market share? • Determine each competitor's market strength by looking at the financials for each competitor. 2. Explain how your company's market share compares to your competitors'. Use Power BI to create charts on your and your competitors' market share. • Is your company gaining or losing market share? • What is your company's growth potential in the industry? • How do your company's financials look compared to your competitors'? 3. Identify future potential total available market (TAM) and growth for chosen product/service and technology. • What is the TAM for cars and light trucks? • What is the TAM for IoT-connected cars and light trucks? • What is the projected compound annual growth rate (CAGR) for cars and light trucks? • What is the CAGR for loT-connected cars and light trucks? 4. Identify ways to adjust if business conditions change. • What can you do if your customers are slow to respond (buy) the innovation? • What can you do if one competitor is overtaking all the others, including you?See Answer
  • Q12:8. The Peachtree Airport in Atlanta serves light aircraft. It has a single runway and one air traffic controller to land planes. It takes an airplane 12 minutes to land and clear the runway. Planes arrive at the airport at the rate of 4 per hour. a. Determine the average number of planes that will stack up, waiting to land. b. Find the average time a plane must wait in line before it can land. c. Calculate the average time it takes a plane to clear the runway once it has notified the airport that it is in the vicinity and wants to land. d. The FAA has a rule that an air traffic controller can, on average, land planes a maximum of 45 minutes out of every hour. There must be 15 minutes of idle time available to relieve the tension. Will this airport have to hire an extra air traffic controller?See Answer
  • Q13:HCM 320 Module Four Journal Guidelines and Rubric The Case for Incentivising Health is based on Australian data, but the challenges of combating chronic disease there are similar to the challenges present in the United States. Read the case carefully and consider the list of main considerations those working in the preventative health space could think about when developing programs, policies or interventions to change behaviors listed on page five. Address the following questions: Which of these cues do you consider to have the most impact in terms of changing healthcare behaviors of the patient? Which of these cues would you most readily respond to as a patient? Which cues do you think are most likely to be adopted by providers and insurance companies? Support your responses with examples from your own experience, the case, or references to the textbook or other scholarly sources. Use the journal as an opportunity to familiarize yourself with the final project requirements and case study. Journal activities in this course are private between you and your instructor. Only the instructor can view and comment on your assignments. What to Submit Your journal assignment should be 2 to 4 paragraphs in length. Submit assignment as a Word document with double spacing, 12-point Times New Roman font, and one-inch margins./n AIA Vitality The Case for Incentivising Health Using behavioural economics to improve health and wellness A White Paper from AIA Australia Contents Foreword Executive summary... Introduction ●●●●● ●●●●●●● Non-communicable diseases Public health and health promotion Behavioural economics and health .... Wellness programs Vitality case study Conclusion....... ●●●●●● .... ●●●●●● ●●●●●●●●● 3 ●● 4 6 8 10 12 20 21 Bio of Professor Kevin Volpp, MD, PhD Appendix A: The history of public health and health promotion ......... 26 24 25 CONTENTS 1 Foreword Two in three Australians are currently overweight or obese and chronic disease is the leading cause of death and disability in the country. These preventive health challenges affect all sectors in Australia, including the life insurance industry. At AIA Australia, we have seen this first hand, with increasing numbers of claims made because of chronic diseases that affect a person's ability to work, causing financial strain and impacting on their quality of life. Finding a way to halt this trend is critical for Australians to live better and happier lives with their families and for a more sustainable future for our national health system. To help address this issue, AIA Australia is bringing the world's largest health and wellness program - Vitality - to Australia. Using the latest research in behavioural economics and health incentives, Vitality is designed by academics and health practitioners to encourage people to take the first steps towards healthy living and, more importantly, to make these lifestyle changes permanent. AIA Vitality provides the knowledge and tools for people to achieve their health goals. Members of the program have the opportunity to complete full health and fitness assessments and earn points for undertaking healthy activities, such as buying healthy food and going to the gym. They are rewarded through discounts on shopping, entertainment and travel purchases, among other benefits. It will be sold initially through financial advisers to people who purchase an eligible life insurance policy with AIA Australia. Over five million people across five countries - South Africa, UK, USA, China and Singapore - are being motivated every day to lead healthier lives through Vitality, an incentive-based program. Evidence for the efficacy of the program - in terms of improved clinical outcomes, reduced healthcare costs, lower hospital admissions, increased productivity at work and improved mortality rates - has been profiled in leading academic journals such as the American Journal of Health Promotion. We believe that Vitality can have a very significant impact on Australia's health, while at the same time revolutionising the life insurance industry. Research into the benefits of employing behavioural economics, such as through incentives and 'nudges', as a part of the array of health promotion tools is still in its infancy in Australia. However, there is rapidly growing interest by governments and NGOs in learning how to incorporate these principles into program planning and policy making. To help further this discussion, AIA Australia has commissioned this White Paper report titled The Case for Incentivising Health. Specifically, I'd like to thank Professor Kevin Volpp from the University of Pennsylvania for writing the introduction to the White Paper. Professor Volpp's considerable guidance in sourcing the latest research in the area of health incentives has been invaluable and I'm delighted with our collaboration on this project. The White Paper aims to provide the latest research on how incentives and their associated principles can work to nudge people towards adopting and sustaining healthier behaviours. It is our hope that it can be used as an information and discussion resource by governments, NGOs and policy designers for when and how health incentives can work most effectively. PETER CREWE, CEO, AIA Australia FOREWORD 3See Answer
  • Q14:Case studies should be formatted according to APA guidelines for an executive summary. ul. Case Study Alumni donations are an important source of revenue for colleges and universities. If administrators could determine the factors that could lead to increases in the percentage of alumni who make a donation, they might be able to implement policies that could lead to increased revenues. Research shows that students who are more satisfied with their contact with teachers are more likely to graduate. As a result, one might suspect that smaller class sizes and lower student/faculty ratios might lead to a higher percentage of satisfied graduates, which in turn might lead to increases in the percentage of alumni who make a donation. The following table shows data for 48 national universities. The Graduation Rate column is the percentage of students who initially enrolled at the university and graduated. The % of Classes Under 20 column shows the percentages of classes with fewer than 20 students that are offered. The Student/Faculty Ratio column is the number of students enrolled divided by the total number of faculty. Finally, the Alumni Giving Rate column is the percentage of alumni who made a donation to the university. • AlumniGiving.xlsx Directions Respond in detail to each question. Review the rubric prior to responding. You can use R or JMP, and refer to the chapter readings for additional regression model suggestions. Prepare a managerial report as described below. In the Excel data, add in four additional rows for Add in Park University, Donnelly College, <Instructor Last Name> University, and University of <Your Last Name> 1. Use methods of descriptive statistics to summarize the data. 2. Develop an estimated simple linear regression model that can be used to predict the alumni giving rate, given the graduation rate. Describe and analyze your findings. 3. Develop an estimated multiple linear regression model that could be used to predict the alumni giving rate using Graduation Rate, % of Classes Under 20, and Student/ Faculty Ratio as independent variables. Discuss your findings. 4. Based on the results in parts (2) and (3), do you believe another regression model may be more appropriate? Estimate this model, and discuss your results. 5. What conclusions and recommendations can you derive from your analysis? What universities are achieving a substantially higher alumni giving rate than would be expected, given their Graduation Rate, % of Classes Under 20, and Student/Faculty Ratio? What universities are achieving a substantially lower alumni giving rate than would be expected, given their Graduation Rate, % of Classes Under 20, and Student/ Faculty Ratio? What other independent variables could be included in the model? Remember to include screenshots of the models discussed in your paper. Assignment Instructions ||documents required word and excel in APA format.See Answer
  • Q15:4. The chairperson of the department of management at State University wants to forecast the number of students who will enroll in production and operations management (POM) next semester to determine how many sections to schedule. The chair has accumulated the following enrollment data for the past eight semesters: Students Enrolled in POM Semester 1 2 3 4 5 6 7 8 00 400 450 350 420 500 575 490 650 a. Compute a three-semester moving average forecast for semesters 4 through 9. b. Compute the exponentially smoothed forecast (a = .20) for the enrollment data. c. Compare the two forecasts by using MAD, and indicate the more accurate of the two.See Answer
  • Q16:2. The manager of the Carpet City outlet needs to make an accurate forecast of the demand for Soft Shag carpet (its biggest seller). If the manager does not order enough carpet from the carpet mill, customers will buy their carpet from one of Carpet City's many competitors. The manager has collected the following demand data for the past 8 months: Month Demand for Soft Shag Carpet (1,000 yd.) 1 2 3 4 5 6 (a) and (b), using MAD. Which one should the dealer use for January of the next year? 7 8 8 12 7 9 15 11 10 12 a. Compute a 3-month moving average fore- cast for months 4 through 9. b. Compute a weighted 3-month moving av- erage forecast for months 4 through 9. As- sign weights of .55, .33, and .12 to the months in sequence, starting with the most recent month. c. Compare the two forecasts by using MAD. Which forecast appears to be more accu- rate?See Answer
  • Q17:HCM 320 Module Five Journal Guidelines and Rubric Reflect on what you consider healthcare to be. Briefly describe your definition of health based on your personal and/or professional experience. View the video "From Sickcare to Wellcare" and address the following questions: • Does your professional definition of healthcare change after watching this video? Why or why not? If traditional healthcare were to stray into the realm of socioeconomics and address health disparities through measures such as prescribing healthy foods, what effects on health delivery models would you anticipate? Explain. Use the journal as an opportunity to familiarize yourself with the final project requirements and case study. Journal activities in this course are private between you and your instructor. Only the instructor can view and comment on your assignments. What to Submit Your journal assignment should be 2 to 4 paragraphs in length. Submit assignment as a Word document with double spacing, 12-point Times New Roman font, and one-inch margins. Criteria Initial Definition Change in Definition Delivery Models Module Five Journal Rubric Needs Improvement (75%) Proficient (100%) Describes initial definition of healthcare based on personal/professional experience Describes how professional definition of healthcare may have changed, and explains why be incorporated into delivery models, and explains why Describes initial definition of healthcare, but definition is lacking detail or reflection on personal/professional experience Describes how professional definition of healthcare may have changed, but does not explain why Discusses the potential effects on Discusses the potential effects on healthcare if socioeconomics were to healthcare if socioeconomics were to be incorporated into delivery models, but does not explain why Not Evident (0%) Does not describe initial definition of healthcare based on personal/professional experience Does not describe how professional definition of healthcare may have changed Does not discuss the potential effects on healthcare if socioeconomics were to be incorporated into delivery models Total: Value 20 40 40 100%See Answer
  • Q18:2. Generate and interpret the Descriptive Statistics of Florida House Prices (data file: house_selling_prices_FL.xlsx). 1. Pick important aspects of the Florida House data set and generate Descriptive Statistics. 2. Is the mean or median a better measure of center for this data set? 3. Why? 4. Plot a histogram, regression line, or some other chart using a column or columns or interest in the data set. 5. Make sure to label all charts and axes.See Answer

Student Stories

Tutorbin has got more than 3k positive ratings from our users around the world. Some of the students and teachers were greatly helped by the TutorBin.

"After using their service, I decided to return back to them whenever I need their assistance. They will never disappoint you and craft the perfect homework for you after carrying out extensive research. Whether you need economics hw help or support in other subjects, their expertise will surely amp up your performance, and you will soon outperform your peers."

Olivia

"Ever since I started using this service, my life became easy. Now I have plenty of time to immerse myself in more important tasks, viz., preparing for exams. TutorBin went above and beyond my expectations. Whether it's economics hw help or other subjects, they provide excellent quality tasks within deadlines. My grades improved exponentially after seeking their assistance."

Gloria

"They are amazing. I sought their help with my art assignment and the answers they provided were unique and devoid of original work. They really helped me get into the good books of my professor. I would highly recommend their service."

Michael

"The service they provide is great. Their answers are unique, and expert professionals with a minimum of 5 years of experience work on the assignments. If you need an economics assignment helper, their experts ensure top-quality solutions. Expect the answers to be of the highest quality and get ready to see your grades soar."

Richard

"They provide excellent assistance. What I loved the most about them is their homework help. They are available around the clock and work until you derive complete satisfaction. If you need help with economics homework, their experts ensure accurate and high-quality solutions. If you decide to use their service, expect a positive disconfirmation of expectations."

Willow

TutorBin helping students around the globe

TutorBin believes that distance should never be a barrier to learning. Over 500000+ orders and 100000+ happy customers explain TutorBin has become the name that keeps learning fun in the UK, USA, Canada, Australia, Singapore, and UAE.

Economics Homework Help For Ultimate Academic Success

Economics is a significant part of social science. This discipline focuses on the behavior & interaction of economic agents. It also concentrates on how our economies work. Those who opted for economics as their subject need to study how people interact with limited resources, including the production process, the concepts of consumption, services, and goods distribution. Due to complex theories, graphs, and real-world applications, Economics has become challenging for students.

TutorBin’s economics homework helper team simplifies it all. Our subject expertise, tutoring efficiency, personalized guidance, prompt response, and 24/7 support help students grasp economics without stress. Through our problem-solving tutoring, our experts imbue a deeper subject knowledge that strengthens conceptual grasp and resolves doubts. It ensures students submit their homework on time without fail. All these factors increase their study inclination, paving the way for their academic success.

5 Challenges For Which Students Seek Homework Help Economics

Our experts identified five major subject challenges that push students to seek Homework Help Economics. These are complex theories, data analysis, mathematical calculations, case studies, and real-world applications.

Understanding Complex Theories:

Some economic concepts are abstract by nature. Students struggle a lot to understand these concepts. They often seem confused as they don't grasp core principles and can apply them to different economic scenarios. Under such circumstances, they need guidance that simplifies theories intertwining with mathematical models and statistical data. Students cannot solve problems without guidance due to their conceptual knowledge gaps.

Mathematical Calculations:

Mathematical calculations involve complex equations, statistical analysis, and advanced models. Applying the concepts of calculus, algebra, and probability to solve economic problems is not a cakewalk. Takes a strong grasp of calculations and analytical skills. Students who do not have efficiency in calculations find it challenging to break down problems, an important step to getting accurate answers. In this situation, help with college economics homework assists students in doing calculative tasks.

Real-World Application Knowledge:

Solving tasks based on theoretical concepts without knowing how to apply them to real-life economic scenarios is almost impossible. Economics students must stay updated with current economic trends, policies, and market behaviors. Lacking the understanding of implications often leads students to wrong answers or leave the problem midway. Do My Economics assignment service lets students learn how to apply the right concepts in practical scenarios appropriately.

Data Analysis:

Economics relies heavily on quantitative data. Without the skills to analyze trends or perform statistical calculations, students struggle to apply theoretical concepts to real-world scenarios. It becomes difficult to support arguments with evidence, which leads to inaccurate conclusions. This process often becomes time-consuming and frustrating for students, guiding them to request experts to "do my economics homework."

Time Management:

Economics homework requires in-depth analysis, problem-solving, and a thorough understanding of theory and data. Not having good time management skills may take too much time to do homework, leaving little time for other crucial activities. Students may face rushed work if they don't manage their study time well. It increases stress, which prevents students from performing well. Seeking help with college economics homework can be a best option in this scenario.

Topics Covered By Our Economics Assignment Help Team

TutorBin.com delivers comprehensive writing assistance across major Economics sub-disciplines, providing in-depth insights and expert guidance for academic success. Explore the diverse areas of expertise that our skilled professionals cover:

Applied Economics:

Solve real-world problems using economic theory and econometrics. Gain a deep understanding of policies and principles that impact daily life and the economy. Secure superior solutions with our Online Economics Assignment Help.

Development Economics:

Focus on the fiscal and socio-economic conditions influencing a country's economy. Analyze health, education, industry, employment, and domestic and international policies. Our experts at TutorBin.com offer carefully crafted answers for excellence in Development Economics.

Econometrics:

Utilize statistical methods, mathematics, and computer science to derive intelligent inferences from economic data. Enhance your econometric skills with Economics Assignment Writing help, allowing for consistent empirical analyses and effective economic models.

Economic Theory:

Dive deep into the relationships between economic phenomena and quantitative economic models. Tackle overwhelming essays and assignments with dedicated tutoring and Online Economics Assignment Help from knowledgeable academics at TutorBin.com.

MacroEconomics and MicroEconomics:

Explore the bigger picture and minute factors affecting an economy. Develop solid knowledge and problem-solving skills with Do My Economics Assignment assistance from TutorBin.com to secure the best grades.

Labor Economics:

Study the wage labor force as a critical element in any production process. Analyze factors affecting workers throughout their professional lives. Solve labor Economics assignments with unprecedented assistance from TutorBin.com.

Health Economics:

Delve into the Economics of health and healthcare. Understand how economists and policymakers improve healthcare systems through principles of Health Economics. Take Online Economics Assignment Help to intuitively apply these principles with the help of TutorBin's subject matter experts.

TutorBin Economics Homework Help Online in the USA

Our proficient Economics assignment writing experts provide superb assistance for other specialties, including Public Economics, Regional & Urban Economics, Industrial Organization, International Economics, Experimental Economics, Economic History, and more. Our cohesive writing units plan, research, and write with ample references from credible sources. Along with expert guidance, students can also benefit from our advanced Economics AI solver, which helps simplify complex theories, solve numerical problems, and provide clear explanations. Through exhaustive research and a well-organised writing routine, they deliver unmatched online Economics assignment help. Trust TutorBin.com for expert guidance and unparalleled support in mastering Economics sub-disciplines.

SubjectsBenefits
Elasticity and revenue800+ Ph.D. Experts
Economic measurementsOriginal Work
Monopolies24*7 Availability
Fiscal policyDetailed explanations
Resource marketsAffordable Pricing
Growth and developmentHigh-quality solutions
Risk and exclusionMoney Back Guarantee

Homework Help in Economics- Topics Economics Homework Help Online Experts Cover

TutorBin experts cover different topics to support students across all academic levels. No matter what topic bothers students and prevents them from doing their homework or finishing their assignments, experts are there to cover all. Regardless of complex topics from any sub-discipline of economics, our subject specialists are efficient enough to handle it all. Their expert assistance makes homework completion and studying economics easier.

  • Price Elasticity of Demand and Its Impact on Revenue
  • Income and Cross Elasticity of Demand
  • Gross Domestic Product (GDP) and Its Limitations
  • Unemployment Rates and Inflation Indexes (CPI, PPI)
  • Price Setting and Output Decisions in a Monopoly
  • Natural Monopolies and Government Regulation
  • Expansionary vs. Contractionary Fiscal Policy
  • Government Spending and Budget Deficits
  • Labor Market and Wage Determination
  • Capital Markets and the Role of Interest Rates
  • Economic Growth Models (e.g., Solow, Harrod-Domar)
  • Human Capital and Sustainable Development
  • Informal Credit Markets and Risk Management in Developing Countries
  • Social Exclusion and Economic Inequality

Finding Economics Homework Solver Best Suited For You

It is clear that Whenever students feel they are stuck with their tasks, they can get economics homework help online, but the problem is how to decide what's best for them. Our team has enlisted the pointers through which you can weigh your options for economics homework solvers. Following this checklist eases the process of seeking economics hw help.

  • Online economics homework solver who does freelance
  • Get help with economics homework online from academic help websites
  • Offline tutors for homework help in economics
  • Tutor of your senior or peers
  • Peer tutoring for economics hw help
  • Offline tuition by subject matter experts from nearby locality

Checklist to ensure that you are selecting the best option:

  • Start with background checking. See teaching background, previous experience & tutoring knowledge.
  • Make sure that your tutor is helping you to submit unplagiarized work
  • Next, check whether the tutor will be able at the time of your need
  • Confirm with your tutor whether you can contact him/her if you have any doubts or confusion
  • Ask your tutor if it's possible to give you step-by-step solutions to problems when doing economics homework
  • Confirm that your tutor helps you finish tasks before the deadline
  • Lastly, it's essential to be within the budget

TutorBin Homework Help in Economics: 1st Preference For Students

Offering academic support helps students finish their coursework without stress. It creates a positive environment for study and encourages continuous learning that smoothens the path of academic success for students. The empathy and efficiency of TutorBin experts expand the scope of students' knowledge acquisition. This student-oriented learning ecosystem enhances students' academic capabilities and develops their practical skills, excelling in their subject competence. These features establish TutorBin as the most preferred reliable homework help platform.

Our experts are skilled and have professional experience, emphasizing their ability to understand the study challenges and how students must overcome them. With expert guidance, students gain in-depth subject knowledge, complete their homework, and resolve doubts to improve their academic performance.

As an academic help platform, we often get different queries from students. Sometimes, students ask us, "Can I pay someone to do my economics homework?" or "Is it possible for TutorBin to do my economics homework?"- We say that it's very much possible as we offer academic assistance for students to make them competent in their subjects. TutorBin is just like a tutor that helps you understand concepts and apply them to solve problems. Our team does not encourage plagiarism, which often attracts severe consequences for students.

TutorBin Homework Help in Economics- Benefits of This Service

Discussing why students opt for TutorBin homework help cannot be completed until our experts mention the advantages students achieve when choosing this platform. TutorBin has gained success in making students' educational journey easier and goal-oriented. This approach supports students in enhancing their productivity and allowing them to learn smartly for better performance.

Exclusive guidance from subject matter experts: Our strong base has 65000+ tutors with us, among which 800+ tutors hold Ph.D. degrees. Tutors are from top-tier universities and adhere to high standards. They ease the subject complexity for students and break problems into small and simple steps for better understanding. It's their specialty to ensure that students get clarity before submitting their homework. With their updated teaching, students often feel that learning becomes engaging yet easily understandable.

One platform for all types of homework: We don't believe in complexity. Therefore, we focus on making academic help simple and easy to access. Our experts have created a single platform for all your problem solutions. Whatever subject assistance you are looking for, we have everything ready for you. Our main purpose is to provide academic help beyond the country, race, and level of education.

24*7 homework support: Study time should not be restricted to a few classroom hours. As per experts, students need to put continuous efforts into their studies, but the problem is, what if they get stuck somewhere? In this case, opt for our online economics homework help. TutorBin subject professionals guide students around the clock, ensuring they get the required assistance per their learning style. This approach covers knowledge gaps, strengthening students' subject grasp and skill sets.

Customized learning solution for students: Students often fail to keep pace with the learning and start doing rote memorization instead of gaining deeper subject knowledge. Though this approach is not entirely useless, it is not extremely useful, especially for advanced study pursuers. TutorBin offers customized learning to students, ensuring they study at their own pace according to their study needs. This approach motivates them to grasp knowledge, paving the way to achieve academic success.

Accessibility of excellent after-sales support: Our task does not end when we upload our solutions. It ends when students submit their economics homework and get good grades. We take responsibility for giving them all the support they need for their homework. Our excellent after-sales support ensures that students become satisfied whenever they choose us. It makes TutorBin's "do my economics homework" service a preferred option for students.

High-quality education at a cost-effective rate-TutorBin, one of the trusted platforms in the EdTech industry, provides students with one of the best online assignment help services. Our expert team built this platform, aiming to help students with quality academic support at an affordable price. We know that expert tutors demand high payments, but with our large student base, TutorBin keeps the fees within budget. Neither do we sacrifice quality nor compromise with the service rate.

Economics Homework Services FAQs Asked By Students

What are the benefits of help with homework from TutorBin?

One of the benefits of taking help with economics homework is that you will have ample time to prioritize issues you feel are challenging. Experienced tutors offer civil engineering homework help. We also ensure that homework maintains high quality. Some other benefits of homework services are:

  • Original work
  • 24/7 help
  • Timely submission
  • Unlimited rewrites
  • Refund on dissatisfaction

How long will it take to get economics homework solutions?

The time depends on the complexity of the subject along with the proximity of the deadline. Hence, we ask you to enter your preferred deadline while you make the order.

How do I get economics homework answers?

You can take TutorBin help to get your economics homework answers. It is a simple process:

  • Visit our website homepage and sign up. Our 24x7 customer care support will assist you. You can also economics homework answers from our student app
  • You will be directed to a student dashboard where you can inform us about your economics homework problems
  • Enter additional details like the deadline and reference materials
  • When this process is finished, our operations team will connect with you regarding payment
  • Once the payment is made, they will get in touch with the expert for your solution
  • Your tutor will work on your economics engineering answers and upload it when it is completed

How much does economics homework help cost?

The final price depends on the following factors:

  • The time and effort dedicated by the tutor to complete the assignments
  • The complexity
  • Availability of economics homework tutors
  • Deadline proximity
Since these factors often vary, we cannot quote a specific fixed price. However, the rates of help with economics homework are affordable considering the financial aspects of students. Moreover, we offer many exciting discounts to make your homework worth every penny.

  • discord

Services

Live Sessions
Help in Essay
Help in EssayDo My EssayWrite My Essay
Lab Report Help
Project Report Help
Speech Writing Service
Presentation Writing Service
Video Solutions
Online Assignment Help
Online Tutoring
Questions and Answers Library
Math Problem Solver
Do My Homework
Do My Assignment
Pay Someone To Do My Homework
Academic help service
Paper Writing HelpWrite My Research PaperPay Someone To Write My Paper

Branch

Math Homework Help
Physics Homework Help
Chemistry Homework Help
Civil Engineering Homework Help
Finance Homework Help
Electrical Engineering Homework Help
Mechanical Engineering Homework Help
Computer Science Homework Help
Economics Homework Help
Other Subjects Homework Help
Do My Math Homework
Do My Geometry Homework
Do My Chemistry Homework
Do My Computer Science Homework
Do My Physics Homework

Websites

Pay People to Do Your Homework
Pay for my Assignment
Write My Essays for Me
Help Accounting Homework
Economics Homework Help Online
Geometry Homework Help
Help Me Do My Essay
Help in Assignment

Get Instant Homework HelpOn Your Mobile

All The Answers, In Your pockets

Tutorbin
Tutorbin
Scan to download app
DMCA.com Protection Status

Features

Expert Tutors
Original Work
100% Correct Solutions
24/7 Availability
Cost Effective
Solved on Time
Secured account
Refer and earnNew!
Essay Rewriter
Paraphrase Writer
Grammar & Spell checker

Get Instant Homework HelpOn Your Mobile

All The Answers, In Your pockets

Tutorbin
Tutorbin
Scan to download app
DMCA.com Protection Status

About

Blogs
FAQs
Refund Policy
Privacy Policy
Terms and Conditions
Reviews
Copyright Policy
Academic Integrity
Top Questions

Get Instant Homework HelpOn Your Mobile

All The Answers, In Your pockets

Tutorbin
Tutorbin
Scan to download app
DMCA.com Protection Status

Get Answers In Few Hours

Get Homework Help Now!

Instant Help? WhatsApp Us!

+91 9733392546

+