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  • Q1:Question Memo Assignment: Writing A Data Collection MEMO In this assignment you are going to write a 3-page memo by filling out the various pieces. This memo format is based on a common format. You will be writing a 3-page Memo. If you go over 3-pages, it needs to be in the appendix and referenced in the other text. The Scenario: You are a Data Scientist working for a Tech Company. In this exercise you will design a data collection plan for an A/B test (wikiLinks to an external site.) -- an A/B test is where you design an experiment to compare two cases. You need to define the PROBLEM and whether you will use log data (data collected by the APP, e.g. Facebook, Google Maps) or from the user (e.g. a survey). (Remember - think carefully about the data needed for your proposed A/B test and how you will acquire that data). What you need to do: Start by selecting a Tech company that you are writing this for: Facebook, Inc Facebook WhatsApp Instagram Messenger Amazon Apple Netflix Google Google Maps Gmail Microsoft Other Tech Companies not on this list: You can choose another company, but you need to write a paragraph about the company. Provide basic information such as size of the company, major products, what their market is etc. If you choose a company not on the list, you cannot assume I or the TAs know anything about the company, so you need to be clear that all necessary information needed to evaluate your report is written up. Come up with a TITLE. TL: DR - Too Long Didn’t Read - is 3 one-line sentences (no returns) that sum up the document for a director or VP who has maybe 30 seconds for your memo. Write this last. Business Case - This paragraph answers the question of why we are doing this analysis/engineering/research/etc. I.e., What is the motivation for this proposal that is easy, simple and motivating. E.g., Why does the business care about this project. Problem/Research question -- what the problem or research is you are conducting and basics on why it is interesting. Recommendation: Set up an A/B test as Null (status) versus an update (e.g., a red button). Hypothesis(es) - What you think the possible outcomes will be. Usually written up with Null hypothesis and one or two alternative hypotheses. Recommendation: Choose NULL to be status and treatment as a modification of the current App. Data Collection Plan/ Analytic Plan - Describe how you will implement and collect your A/B test. See attachment for how to talk about experiments. Timeline - A simple spreadsheet of all items that need to be accomplished and how long you expect to take. For this scenario you have 2 weeks to accomplish the analysis task. Make a timeline that gets everything in two weeks. Be creative. Example Timeline can be found in attachment You should use real dates (e.g., 06/10/2020). Using a Gantt chart can be visually helpful for understanding how longs take and where actions overlap. Appendix - Any extra details or pre-analysis goes here. This should occur on page 4 and should only be used if needed. Instructions: Write Memo in 3 pages + 1 page for Appendix. Gantt chart attached in Reference section. Do not use AI. Follow APA format. Typed solution neededSee Answer
  • Q2:ASSIGNMENT INSTRUCTIONS It should be not less than 300 words and should incorporate at least one outside, i.e., from a library database search, APA formatted reference at the end of the post. Think about in an IT work environment or a future work environment. Upon reflection of these work environments, conduct some background research three of the data modeling techniques below and discuss specific business decisions problems what those techniques can be applied to: Linear Programming Models Predictive Models Segmentation Models Association Models Correlation Models Similarity Models Optimization ModelSee Answer
  • Q3:ASSIGNMENT INSTRUCTIONS Prepare a professionally written paper detailing differences between data, information, and knowledge. Apply learning from research on differences between data, information, and knowledge providing at least three examples of each detailing why the classification of data, information, and knowledge has been assigned. After addressing the applied learning exercise, conclude your paper with details on why it is important to understand differences between data, information, and knowledge in all applications toward data analytics in any aspects toward data analysis, data mining, and data modeling. Use visualization tools in the conclusions as a way to show how data becomes information and then becomes knowledge. Submission Requirements. Complete the questions above, and be sure to Fully answer each area within the assignment details. Write a 2-3 page paper in addition to a title page, reference page, or charts document for each area Follow proper APA formatting. Include at least two outside source within the past 2 years. Word Limit 600See Answer
  • Q4: Contrast the Decomposition Technique and the Triple Exponential Smoothing for time series forecasting? What are the similarities and the differences between the two approaches? What is the purpose of "split sampling" in forecast modeling? What are the pros and cons of "split sampling"? NEED TO ANSWER THE ABOVE QUESTIONS IN 150-250 WORDSSee Answer
  • Q5: MIS Quarterly Executive Volume 22 Issue 4 December 2023 How Boards of Directors Govern Artificial Intelligence Benjamin van Giffen Helmuth Ludwig Follow this and additional works at: https://aisel.aisnet.org/misqe Article 7 Recommended Citation Giffen, Benjamin van and Ludwig, Helmuth (2023) "How Boards of Directors Govern Artificial Intelligence," MIS Quarterly Executive: Vol. 22: Iss. 4, Article 7. Available at: https://aisel.aisnet.org/misqe/vol22/iss4/7 This material is brought to you by the AIS Journals at AIS Electronic Library (AISeL). It has been accepted for inclusion in MIS Quarterly Executive by an authorized administrator of AIS Electronic Library (AISEL). For more information, please contact elibrary@aisnet.org. SIM MIS MARTERLY XECUTIVE EXE WHERE IT LEADERS CONNECT 45 TM How Boards of Directors Govern Artificial Intelligence Artificial intelligence is top of mind, even for nontechnical business executives and board members. However, the majority of boards struggle to understand the implica- tions of Al for their businesses and their role in governing it. We describe how some boards are addressing AI and identify four groups of board-level Al governance issues. We provide examples of effective board-level Al governance practices for each group of issues and make recommendations for establishing board-level Al governance. ¹,2 Benjamin van Giffen University of St. Gallen (Switzerland) Helmuth Ludwig Southern Methodist University (U.S.) Artificial Intelligence in the Boardroom Artificial intelligence (AI) is top of mind, even for nontechnical business executives and board members. In 2019, more than 75% of executives had already voiced co cerns that their companies might become obsolete if they failed to use AI effectively.³ Fast forward to 2023 and the majority of boards of directors are still struggling to understand the implications of AI for their businesses and the role they have in governing it.4 AI, as a transformative technology, is reshaping the business landscape across many industries, generating new value-creation opportunities and redefining competitive dynamics. The broad adoption of AI requires capital-intensive investments that are often uncertain in nature and pose novel legal, ethical and reputational risks. However, Al, like other digital technologies, is often not a mainstream boardroom topic.5 Boards, as stewards of shareholders' interests, have the fiduciary responsibility to oversee and direct the affairs of the company. Their mandate includes strategy approval, financial oversight, assurance of adequate enterprise risk management and executive appointments. 1 Martin Mocker is the accepting senior editor for this article. 2 The authors thank Martin Mocker, Blaize Horner Reich, Joe Peppard and the members of the review team for their thoughtful feedback and guidance throughout the review process. We also gratefully acknowledge the support of the interviewed board directors in providing insights into their AI governance practices. 3 For a discussion on the business criticality of AI technology perceived by C-level executives, see Reilly, A., Depa, J. and Doug- lass, G. AI: Built to Scale, Accenture, 2019, available at https://www.accenture.com/content/dam/accenture/final/a-com-migration/ thought-leadership-assets/accenture-built-to-scale-pdf-report.pdf. 4 Watch Board Effectiveness: A Survey of the C-Suite report, PwC's Governance Insights Center. May 2023, available at https:// www.youtube.com/watch?v=SLqBZD5zp7E. DOI: 10.17705/2msqe.00085 5 The need to govern technology at the board level is not new and has also been suggested in prior studies. See, for example: 1) Nolan, R. and McFarlan, F. W. "Information Technology and the Board of Directors," Harvard Business Review (83:10), October 2005, p. 96; and 2) Weill, P., Apel, T., Woerner, S. L. and Banner, J. S. “It Pays to Have a Digitally Savvy Board," MIT Sloan Man- agement Review (60:3), March 2019, pp. 41-45. December 2023 (22:4) MIS Quarterly Executive 251 252 Given Al's transformative impact, board- level responsibilities extend to overseeing the company's use of AI to fulfill the boards fundamental duties of care and loyalty. In this article, we use the term board-level AI governance, or Al governance for short, to refer to the way boards oversee and integrate the adoption and implications of Al within corporate governance practices. This article aims to help boards in establishing board-level Al governance. Driven by the question "How can boards effectively govern AI?", we conducted in-depth interviews with high-profile board members from diverse industries and with varying levels of digital and AI expertise (see the Appendix for details). Our observations reveal how boards are addressing AI, and provide insights into how boards are integrating AI into their corporate governance. Our analysis identified four groups of board- level Al governance issues: 1) Strategy and Firm Competitiveness; 2) Capital Allocation; 3) AI Risks; and 4) Technology Competence (see Figure 1). The issues in each group present specific challenges and opportunities, and boards should address them according to their organization's needs and priorities. AI, as a strategic enabler, can impact business strategy by introducing new competitors and business models. Capital allocation focuses on ensuring funding for Al experiments and strategically directing investments toward Al capabilities. Directors face new challenges in risk oversight due to Al's ethical, reputational and regulatory complexities. Lastly, enhancing technology competence within boards and executive teams ensures informed Al governance decisions. Below, we describe the issues of each group in detail, highlighting the associated challenges and opportunities, and report on the AI governance practices that were implemented within the boards of our respondents. We then provide three actionable recommendations to assist boards in their efforts to establish Al governance. 6 The duties of care and loyalty, alongside exercising business judg- ment, define the standards for directors' behavior and engagement as well as their legal liabilities. For more information, see Walker, G. and Madsen, T. L. Modern Competitive Strategy (4th edition), McGraw Hill, 2015, pp. 342-343. MIS Quarterly Executive | December 2023 (22:4) How Boards of Directors Govern Artificial Intelligence 1. Strategy and Firm Competitiveness Al Governance Issues AI is a strategic enabler and differentiator with the potential to deeply influence an organization's competitive position and bus model. In response, boards are adopting two specific practices: 1) ensuring that AI is reflected in business strategy-i.e., addressing how Al is impacting the strategic landscape and 2) incorporating AI into the board's annual strategy meeting, which ensures systematic board-level discussions of AI. Ensuring that Al Is Reflected in Business Strategy For many board members, AI is a new topic outside their experience and comfort zone and, as a result, boards may often view it primarily from a risk perspective. However, some boards are encouraging management to evaluate the opportunities of AI. Directors reported that their boards have reviewed, or plan to review, the potential for Al to create new offerings, evaluated the emergence of new competitors and assessed the impact of AI on their company's business model. Several boards have asked their executive teams to evaluate how AI is integrated into the strategy for unique market positioning through new Al-enabled offerings. Though approaches varied, there was often a particular focus on how AI can create customer value or cost advantages. An example of anchoring and communicating AI in a business strategy is provided by Ping An Insurance's latest business analysis, which details how it plans to empower financial services with technologies (e.g., by using an “AI Customer Visit Assistant") and how it strategically focuses on developing AI as a core technology to empower human service representatives with AI, offering services covering lending, credit cards and insurance.7 The board of another insurance company requested an analysis of the use of AI by competitors so it could evaluate the emergence 7 See Announcement of Audited Results for the Year Ended De- cember 31, 2022, Ping An Insurance Group, March 2023, pp. 51-55, available at https://group.pingan.com/resource/pingan/IR-Docs/2023/ pingan-ar22-report.pdf. misqe.org | © 2023 University of Minnesota Figure 1: Four Groups of Board-Level AI Governance Issues Challenges and Opportunities Al Governance Practices Strategy and Firm Competitiveness • Business strategy • New competitors • Business model changes • Ensuring that Al is reflected in business strategy • Incorporating Al as a key topic in the board's annual strategy meeting Capital Allocation Board of Directors Executing fiduciary duties in the context of Al • Experiments • Platforms and tools • Partnering, M&A investments • Encouraging Al experiments in annual budgeting process Securing investments in foundational Al capabilities • Supporting external Al partnering and M&As of new competitors. A director of this company noted: "Al use cases aren't typically discussed at the board level, but many of our directors wanted to understand our Al approach versus that of our competitors. Especially because Al is such a competitive weapon in insurance, both in terms of attracting new customers and managing claims and identifying potential fraud.” How Boards of Directors Govern Artificial Intelligence The analysis enabled the board to review and evaluate the company's future market positioning, ensuring that it did not risk falling behind and identifying potential competitive advantages and investment opportunities. As a result, the company made significant Al investments with a transformative impact on its business operations.³ In addition, several directors reported that their boards plan to discuss with management how to anticipate and address Al-driven business model changes. These include the emergence of new, evolved and potentially disruptive business models enabled by AI offerings that serve customers differently, often in a highly personalized and automated manner, while also providing cost benefits. For example, Ant Group- 8 This insurance company currently has an annual investment of around $200 million in AI-related software. Al Risks • Ethical and reputational • Legal and regulatory • Inviting Al risk experts to present to the board or audit/risk committee • Including Al in ERM (Enterprise Risk Management Technology Competence • Board composition • Executive management team composition and structure • Developing board directors' Al competency • Reviewing board composition and expanding committee roles • Including Al competency in succession planning and CIO search criteria an affiliate of Alibaba Group-offers AntPay, a payment technology that uses AI to assess creditworthiness, enabling Ant Group to provide microloans to consumers and businesses often overlooked by traditional banks.º Another example is Siemens Mobility's offering for Renfe, the national railway company of Spain, which uses AI to accurately predict the number of train passengers. This Al-enabled intelligent mobility-as-a-service (MaaS) platform has changed Siemens Mobility's business model from selling trains to offering passenger transport capacity services and has enabled Renfe to improve its on-time performance and increase revenue by €156 million over five years, driven by a resulting shift from airline to rail travel.¹0 From our interviews, we found that many directors view understanding the role of AI for the company and engaging in decisions about Al's role in business strategy as an important board responsibility. These directors focused on both traditional AI, which primarily uses machine learning to learn patterns from data to make predictions, and generative AI, which can 9 For more information on Ant Group's AI use, see: Cho, Y. "How AI and vast data support Ant Group's financial empire," Nikkei Asia, November 2, 2020, available at https://asia.nikkei.com/Business/Fi- nance/How-Al-and-vast-data-support-Ant-Group-s-financial-empire. 10 See Siemens Mobility and Everis to Develop a Mobility as a Service (MaaS) Platform for Renfe in Spain, Siemens, 2021, available at https://press.siemens.com/global/en/pressrelease/siemens-mobility- and-everis-develop-mobility-service-maas-platform-renfe-spain. December 2023 (22:4) MIS Quarterly Executive 253 Table 1: Four Ways of Incorporating AI into the Board's Annual Strategy Meeting Leader for 60-minute session External industry expert Focus External View ● Trends and drivers of Al within the firm's industry • Trends and drivers of Al in adjacent industries Internal Examples of What Has and Has Not Worked ● Overview of Al initiatives and applications in use (or not) within the firm • Overview of the current and future Al investment portfolio Overview of the Competitive Landscape Competitor positioning review and evaluation Traditional competitors and new entrants exploiting Al How Boards of Directors Govern Artificial Intelligence CEO's Al Agenda Assessment of Al impact and opportunities within/beyond the business model • Approach to creating new business value and competitive advantage with Al generate new, unseen content such as images or human-like text. Board members should not rely on executive management to initiate these conversations. As one director put it: “In all the boards I am part of, the topic of Al was not opened by executive management." This quote, echoed by others, underscores the board's duty to start the AI conversation. The question is: How best to approach it? Full board meetings provide an opportunity for board members to receive updates on AI and review and discuss the firm's strategic plans that involve AI. These full board discussions can facilitate a shared understanding and support for strategic Al-related decisions, which is important because, as one director noted: "Ultimately, board decisions are [whole] board decisions and not decisions of individual directors." Full board discussions, however, are often constrained by the limited available time, preventing the necessary depth in the conversation. An alternative approach was adopted by the directors of a pharmaceutical company that was under pressure to drive rapid Al-enabled technological change. They established a sounding board where Al-savvy board members could meet with the CIO and other key executives. This group met at least twice a year for project- focused dialogues about the progress of AI initiatives. 254 MIS Quarterly Executive | December 2023 (22:4) CEO, COO/CTO, CIO CEO, chief strategy officer CEO Incorporating Al as a Key Topic in the Board's Annual Strategy Meeting The annual board strategy meeting is an excellent opportunity to deeply involve the board in strategic decisions related to AI. In this way, boards can ensure that AI is addressed and integrated into the company's strategic agenda. The directors we interviewed described four types of sessions, each lasting about 60 minutes, where AI had been incorporated into their boards' strategy meetings, focusing respectively on an external view, internal AI examples (good and bad), the competitive landscape and the CEO's AI agenda (see Table 1). External view: In some boards, an external expert outlined AI opportunities, challenges and industry-specific best practices and how these related to the company overseen by the board. These sessions included a review of nontraditional competitors (e.g., digital natives, startups) that may be at an early or even experimental stage but show significant growth in the company's market. This type of session provides insight into how AI could redefine the company's competitive space both within and outside its industry and can even identify potential investment areas or possible acquisition targets (merger and acquisition opportunities). As one director noted, an external view is particularly helpful because "most strategic disruption originates from outside an industry." Internal examples of what has and has not worked: In this type of session, executive management provides an overview of AI misqe.org | © 2023 University of MinnesotaSee Answer
  • Q6: Manchester Metropolitan University Unit Code: Faculty of Business and Law Assignment Brief 2023/24 Unit Title: Business Technology Project 5Z6Z1002 Core Level:6 Assignment Identifier: 2CWK85 Project Report Topic: Future of Autonomous Vehicles: Can they substitute current delivery services and how would they influence the industry. Feedback Return Date: See Date on Moodle -4 weeks after submission date. Feedback Return Information: Provisional marks and feedback via Moodle. View online feedback against your electronic submission. Assignment Task and word count: The Business Technology Project involves you undertaking an independent project that is written up as a project report at the end of the unit. Your project will be aimed at business improvement appropriate to the subject specialism of Business Technology For this assignment, you need to write an INDIVIDUAL PROJECT REPORT (MAX 9000 Words), and provide supporting evidence as appropriate. In some (build) cases, this may involve a live demo to verify claims made in your report. (85% WEIGHTING in final unit mark). Unit Learning Outcomes Assessed: 2. Apply methodology appropriate for the project objectives. 3. Critically evaluate theory and secondary sources to inform the direction and approach of the project. 4. Communicate the work effectively through appropriate deliverables. Critically reflect on the strategic significance of the project outcomes and the development of employability skills. Business Technology programme learning outcomes assessed: BT PLO1 Identify the business technology requirements for a range of contemporary business contexts. BT PLO2 Evaluate existing and emerging business technology solutions to meet these requirements. BT PLO5 Plan and manage business technology projects AOL Programme learning outcomes assessed: PLO1: Apply critical thinking to practical and coretical problems. PLO1.1.1 Identify and interrogate relevant data and literature sources using 1 methods appropriate PLO1.1.2 Apply theory to discussion and analysis PLO2: Be effective communicators using a range of media. PLO2.1.1 Organise work in a logical structure in order to draw conclusions that follow from line of argument PLO2.1.2 Apply consistent and appropriate referencing and in text citations PLO2.1.3 Demonstrate digital skills appropriate PLO3: Demonstrate an awareness of ethical, corporate social responsibility and sustainability issues appropriate to the level of study and discipline context. PLO3.1.1 Recognise, explore and reflect on key ethical issues as they affecting own and others' practice. PLO4: Demonstrate professional and Commercial/Corporate awareness 4.1.1 Identify and explain professional and commercial/corporate issues 4.1.2 Critically evaluate professional and commercial/corporate issues 4.1.3 Critically reflect upon own development as a current or future professional Assignment Details and Instructions: You will produce an INIDIVIDUAL written Project Report of MAX 9000 words, and provide supporting evidence as appropriate. The word count excludes the sections that do not form the main body of your report such as contents, executive summary, appendices (including skills mapping) and references. In some cases (build projects), the supporting evidence may involve a live demo to verify claims made in your report if uploaded files cannot be straightforwardly executed by your supervisor independently. The report should be readily understandable to an audience that varies in technical background and prior knowledge of the project. You will present a logical and justified argument, leading to convincing conclusions and recommendations. Your writing should demonstrate clarity of expression and a good command of English grammar, spelling, and punctuation. Note: you are required to develop a skills mapping table to include in your Appendices, which demonstrates your critical reflection on your employability and career readiness skills improved and developed in your final year, but particularly through your project work. This reflection will need to include consideration of how your professional engagement with your supervisor has contributed to this development. Also included in your Appendices must be your record of professional engagement with the supervision process, which must be signed by your supervisor to verify TIPS Read the Project Handbook on the Moodle channel for more detailed guidance on the structure and content of the report. Read the assessment rubric at the end of this brief to gain understanding of how the quality of your work is to be judged. Engage fully and professionally with the support provided by your supervisor to benefit from formative feedback on your plans and draft writing. Evidence of this professional engagement will be REQUIRED as part of the assessment criteria. Any student not having completed verification of at least 5 supervision meetings by 22 March will be required to attend a professional engagement discussion with the unit leader and/or supervisor during the assessment period. Expected structure and content of the Project Report Title Page. This should include the title of your Project; your name and MMU ID, 2 date of submission; a declaration of authenticity (see Project Handbook for wording), the University ethics application approval number, and identification of the level of confidentiality of your work (if applicable). Table of contents, and any lists of figures, tables, acronyms. Executive summary. This is no more than one page - and a full précis of your report. It should contain all the essential points of the aim, business justification, objectives, approach, key findings/outcomes, and conclusions/recommendations. Note- this is NOT a brief introduction to your project or an outline of the project structure. It must be comprehensible to someone who has not read the rest of the report. Introduction. (approx. 500 words) Explain briefly the scope of the project in terms of the problem/opportunity for business improvement that has been addressed by the project. Background. (approx. 2300 words) A review chapter, covering the background desk research undertaken that builds a logical argument for the aim and objectives that will follow. This should include critical discussion of the business technology problem(s)/opportunity(ies) your project addresses. You should use relevant theory and reference to secondary sources to demonstrate you have a thorough knowledge of what is already known about the relevant business context, practice and issues, and identifies what is NOT known and is therefore being addressed by the project. Aim and Objectives: (approx. 200 words) A statement of the intended purpose of your project and goals that logically guide the project activity and judgements about its progress. You should have already developed these for your project proposal. These should be: unambiguous and precisely stated; achievable; appropriate for achieving improvement identified in the background. Methodology. (approx. 2000 words) Builds on the proposal work, with more detail and theoretical depth to explain and justify what you have done. It will contain several subsections to appropriately signpost and focus on the different aspects of the work undertaken (e.g. research design, sampling, data collection methods, data analysis, project management, ethical conduct). It should provide sufficient detail and clarity for understanding and replicating the approach, be appropriate to achieving your aim and objectives, use research methods and project management theory to justify approach (where appropriate), and demonstrate understanding of the relevant ethical considerations associated with your work and conduct required to address these considerations. Results. (approx.. 2500 words) Evidences, explains, and evaluates the findings, outcomes, outputs, deliverables, artefacts, achievements, benefits (as appropriate) that have been produced as a result of the project. You need to discuss and critically reflect on the extent to which the intended project aim and objectives have been achieved, and the factors that may have influenced this. Conclusions. (approx. 1000 words) Summarises your key argument and evidence for achievement (or not) of your aim and objectives. You also need to consider the strategic significance of these for your client (if consultancy) and business more generally (if research). Recommendations. (approx. 500 words) Discusses implications for further work arising from the project. This demonstrates you understand where your project fits in a framework of longer term continuous improvement of your client organisation (if consultancy) or business more generally (if research). References. References and citations must comply with MMU Harvard standard. Library guide. 3 Appendices. Contains the audit trail of your project work. Examples include:- -Evidence of time management-the Gantt chart you used to guide this (probably refined since your original proposal). -Evidence of primary data gathering planning such as interview/discussion guides or your blank questionnaire. -Evidence of the raw primary data generated (e.g. a transcript of an interview, marked up to illustrated how you have coded/analysed themes) -Evidence of your ethical conduct in data gathering, with any blank consent forms and participant information sheets used. It will also include the Skills Mapping Table and your record of professional engagement with your supervisor. Format There is no prescribed format for your report in terms of overall design, font, style, line spacing, margins etc. The expectation is that by final year you should be able to make appropriate judgements about how to effectively present and communicate your work. The report must be in either Microsoft Word document or .pdf file format. Mac users who use Pages, or an alternative word processing application will need to convert work to this format before submission. It is your responsibility to ensure that the document is free of any formatting issues, and that you submit the correct version of your document. Submission The report must be submitted via the assessment submission link on Moodle by 9pm on the submission date stated in Moodle. The only exceptions are if you have applied, and received, an approved extension (see section on Late Submissions and Assessment Mitigations. Students who have completed build projects may be required to submit additional files evidencing claims to development work to a separate link, or provide in person demonstration, to help your marker contextualise the work. Your supervisor will advise nearer to submission. Feedback and support: Academic support A supervisor will be assigned to you at the start of the academic year. You are advised to make contact with your supervisor as soon as possible to discuss and agree your project idea and plan and schedule your supervision meetings. You will be required to maintain a record of professional engagement with your supervisor which must be signed by your supervisor to verify Weekly lectures will also be used to support your ability to complete this assignment. Feedback Formative and qualitative feedback about your plans, draft work, and progress will be provided by your supervisor during supervision meetings. The summative feedback and marks will be released on Moodle 4 weeks after submission. Any questions about the feedback should be directed to your supervisor. Ethical Approval: 4 IMPORTANT: Your project plans will require ethical approval before you can progress your project beyond the background desk-based research of publicly available secondary sources. Using the online ethics approval system (EthOS, at https://ethos- apply.mmu.ac.uk/Account/Login). It is academic misconduct not to secure this approval (see next section). Further advice on completing the form can be found in the Project Handbook and can also be found at https://www2.mmu.ac.uk/research/staff/ethics-and-governance/ Academic Integrity, Academic Misconduct and Plagiarism Academic Integrity is about engaging in good academic practice. It means being honest and transparent, and demonstrating rigour and accuracy in your work. This can include the proper citation and referencing of the sources of your ideas and information, ensuring that you are using appropriate research methods, or checking that your work is free of errors. Additional information, video tutorials and guides to support good academic practice and maintain Academic Integrity in your assignments can be found on the Academic Integrity area of the Academic and Study Skills page on Moodle. Academic Misconduct is any action that could give you an unfair advantage in coursework, exams, or any other assessed work, which could lead to undermining the academic standards of the University. This includes practices such as plagiarism, self-plagiarism, collusion, contract cheating or falsification of data, and failing to secure Ethics approval for your work where this is required. Full details of the Manchester Metropolitan University guidelines for Academic Misconduct and definitions of terms can be found here. Use of Al technology for your assessment task(s) As this is a very new area, there are several questions which we don't have answers to. These include the balance of your text and Al generated text for it to be considered your own work and what form the acknowledgement should take. The important thing is to consider these things and make a judgement based on your context. OpenAl has a content policy that must be followed when using their tools. It states, 'Don't mislead your audience about Al involvement', so if you use ChatGPT and don't acknowledge it, you are not abiding by their terms of use. The University Library provides some guidance on the form this acknowledgment might take here. Late submissions & Assessment Mitigations: Please refer to this link which will take you to MMU Student Life Assessment & Results guidance. Here you will find information for MMU's assessment mitigations process. Further guidance can be found in this video link for step- by-step instructions on how to apply for your extension via Moodle. Please note: If you think you are unable to submit on time due to a health or some other unforeseen issue you must request this via your unit Moodle page, referring to the guidance in the links provided above. LO 5See Answer
  • Q7: Demonstrate an understanding of what linear programming does vs. regression vs. quantitative forecasting. Describe an opportunity for the use of linear programming, modeling with regression and quantitative forecasting in your organization/industry. Your discussion should include (1) a general discussion of each technique, (2) the problem/decision that could be addressed and (3) where the data would come from – captured (artifact from doing business), collected (ex/ questionnaire), acquired (ex/ purchased)? You have done assignments using each technique and may want to review them to re-familiarize yourself. This is NOT intended to be a research question nor a re-cap of each assignment but rather a synthesis of the techniques you have learned. The suggested length is 2-4 double spaced pages. I appreciate headings. As always, please provide your name and the assignment name on the assignment. use to grading rubric to answer No references or citation/nSee Answer
  • Q8: Overview As you've learned in the module resources, systems are everywhere in our lives. In this activity, you will leverage your understanding of systems thinking and your knowledge of Microsoft Visio to describe a system that exists in your own life. You may choose any system in your life. However, it may be best to start out with a simple system at a very low level of complexity. Prompt For this assignment, complete the following: • Choose a system in your own life. In one paragraph, describe the purpose of this system and describe how it meets the definition of a system. . • For your chosen system: identify its parts, define their relationships to each other, and describe any feedback loops present in the system. Using Microsoft Visio, construct a model of this system. What to Submit Upload a Word document that must include your written descriptions and your diagram of the system.See Answer
  • Q9:Business Idea or Goal of the Project Some descriptive statistics from data How to use business analytics tools to answer the questions/nData Sources and Topics Students chose their own data and topics. The topic and data are supposed to be related with business decision. Here are some examples of topics and data but not limited. No data from someone's project, report, or other classes including ECO520 data in the class folder. ⚫ Customer database for sales or marketing: Uber, Amazon, Airbnb, Netflex customer database.Final Prject Guideline ECO520 ⚫ Human resources Related: Performance of workers, Salary decision model, Turnover rate or Retention Rate Financial decision models: Loan amount, Default of loan, Insurance premium ⚫ Health Related Models: Patient management, Effectiveness of Drug, Diseases Control, Smoking or Quitting, Health Service Evaluation Public Policy Related: Census data from the American Community Survey (ACC), the Bureau of Labor Statistics (BLS), the Current Population Survey Housing Related: House price model, Rent/Owner (Tenure) Model.. Transportation Related: Car accident and Highway safety, Supply Chain Analysis, Airplane Delay, Tourist Demand⚫ Hospitality: Hotel Price, Occupancy, Rating on Service Housing Finance: Fannie Mae and Freddie Mac Mortgage Data, Home Mortgage Disclosure Act (HMDA), Foreclosure Model Instructions regarding PPT: The final project has to present the proposal for your project. PPT will be required to show your screen with the following information: 1. Topic 2. Business Idea or Goal of the Project 3. Sources of data 4. Some descriptive statistics from data (if you have them) 5. How to use business analytics tools to answer the questions the slides should be about 6-7 slides mentioning all the points and heads clearly Need speaker notes as wellSee Answer
  • Q10: Business objective: Note: This assessment uses the data from the Excel Assessment and builds upon your work. Most superstore chains develop comprehensive marketing plans to reach their key objectives. These help the owners better define their target customers, locations, and store concepts. You have been hired to run analysis to help the superstore owners develop a new marketing plan and earn the highest profits possible across customers and locations. To support the objective you will want to identify which products, categories, and locations are performing well and are not performing well. Assessment Learning Outcomes: Upon successful completion of this assessment, you will be able to: 1. Recognize the importance of quality presentations. 2. Demonstrate steps to create and design effective slides. 3. Apply data design elements for charts, tables, and graphs. 4. Identify KPIs and key concepts to include in your presentation. To successfully complete this assessment perform the following steps. You will need a minimum of 8 deck slides (including the title and thank you slides). 1. Build your narrative around your KPIs, interpret your findings and how they align with the business objective. 2. Identify the visuals that best support your findings. 3. Now that you have constructed your data model, open and select a presentation template. 4. Build your presentation, starting with title and self-introduction slides. 5. Create the body of your presentation using content slides (include proper titles for each key finding). 6. Insert tables and charts using your Excel model (link, embed, or both). 7. Support tables and charts with data interpretation. 8. Choose one slide, select its content, and change to SmartArt. Assessment Learning Outcomes: Upon successful completion of this assessment, you will be able to: 1. Recognize the importance of quality presentations. 2. Demonstrate steps to create and design effective slides. 3. Apply data design elements for charts, tables, and graphs. 4. Identify KPIs and key concepts to include in your presentation. To successfully complete this assessment perform the following steps. You will need a minimum of 8 deck slides (including the title and thank you slides). 1. Build your narrative around your KPIs, interpret your findings and how they align with the business objective. 2. Identify the visuals that best support your findings. 3. Now that you have constructed your data model, open and select a presentation template. 4. Build your presentation, starting with title and self-introduction slides. 5. Create the body of your presentation using content slides (include proper titles for each key finding). 6. Insert tables and charts using your Excel model (link, embed, or both). 7. Support tables and charts with data interpretation. 8. Choose one slide, select its content, and change to SmartArt. 9. Select chart or table and add an animation. 10. Wrap up your presentation with a concluding slide. If you desire, add SmartArt. 11. End your presentation with a 'thank you' slide. 12. Practice and run through your presentation in slideshow mode. 13. Save your presentation as Presentation Assessment and submit it to Canvas using the submission instructions below./nSee Answer
  • Q11: INNOVATE 1X03 Milestone 2 - Feasibility To be completed in your milestone groups Due: March 22nd, 2024 @ 11:59 pm via the A2L Dropbox Grading: 20% Page Limit: 7 pages excluding title page and References Purpose The deliverable for this milestone will identify barriers to success and identify mediation strategies. Submission Instructions Please submit the milestone via the A2L Dropbox as a PDF before the due date. Late submissions will not be accepted. Include a title page that displays the following: • Milestone number and title. Date of submission. • Each group member's full name and Mac ID (e.g., John Doe, doej10). Formatting guidelines and naming convention: • The file naming convention is: 1X03_MS#_Group#. • Times New Roman font, 12 font size. • Double spaced • Include clear headers for each section (i.e., Part #). APA style citations. (be careful, doing this wrong can lead to an F. Google a template or instructions.) Generative A.I. Generative Al may be used as a research aid only. INNOVATE 1X03 Part A Environmental Analysis - 1. Prepare three of the following assessments: SWOT, PEST/PESTLE, • Porters Five Forces, • MOST, • SOAR, • NOISE, or SCORE. Make sure you pick tools that elucidate different challenges. 2. Identify all key stakeholders. Describe their role and the power they yield on your success. Part B – Business model 1. Prepare a Lean Canvas. 2. Provide a discussion on key elements of the lean canvas that will have an impact on your success. 3. Include a strategy for monitoring those key elements. (Key Performance Indicators). Part C-Break-Even Analysis Express break even in terms of Quantity, Revenue, and Time. Show your work (including relevant calculations)./nSee Answer
  • Q12:/n2. Revenue and Earnings: Use the provided income statements to summarize the gross revenue and net earnings for Company A and Company B over three years. Include screenshots of your data visualization as follows: a. Company A: In Power BI, use the provided Company A Financials document and construct a line chart illustrating the visual relationship of revenue, gross profit, total expenses, earnings before tax, net earnings, and taxes. b. Company B: In Power BI, use the provided Company B Financials document and construct a line chart illustrating the visual relationship of revenue, gross profit, total expenses, earnings before tax, net earnings, and taxes. 3. Conclusion: Summarize your observations about the financial performance of both companies. Include any insights you may have about their performance trends or how they have performed compared to each other over the past three years. What to Submit Submit a 2- to 3-page Word document using double spacing, 12-point Times New Roman font, and one-inch margins. Sources should be cited according to APA style. Consult the Shapiro Library APA Style Guide for more information on citations./nPrompt Use the provided data sets of Company A and Company B to create data visualizations of their financial performance in Power BI. Then, based on the visualizations, write an executive summary interpreting the financial performance of Company A and Company B. Include screenshots from your data visualizations as needed in your summary. Follow the directions in the Power BI Executive Summary Assignment User Manual. To complete this assignment, you will use Power BI software that is located within the virtual desktop infrastructure (VDI). Specifically, you must address the following criteria: 1. Assets, Liability, and Equity: Summarize how the assets, liabilities, and owner's equity have changed over three years for Company A and Company B. Include screenshots of your data visualization as follows: a. Company A: In Power BI, use the provided Company A Financials and construct a set of three clustered column charts, representing: i. The assets of Company A as represented in the data during each of the three years ii. The liabilities and owners' equity over the same three years iii. Once the column charts are created, summarize the insights about how the assets, liability, and equity have changed over three years, as presented in the visualizations using Power BI b. Company B: In Power BI, use the provided Company B Financials and construct a set of three clustered column charts, representing: i. The assets of Company B as represented in the data during each of the three years ii. The liabilities and owners' equity over the same three years iii. Once the column charts are created, summarize the insights about how the assets, liability, and equity have changed over three years, as presented in the visualizations using Power BISee Answer
  • Q13:/nOnce you have your linear regression equation, you should use your linear regression equation to predict sales for the individual people in your mailing list. Step 3: Writeup Once you have your predicted or expected profit, write a brief report with your recommendation to whether the company should send the catalog or not. Hint: We want to calculate the expected revenue from these 250 people in order to get expected profit. This means we need to multiply the probability that a person will buy our catalog as well. For example, if a customer were to buy from us, we predict this customer will buy $450 worth of products. At a 30% chance that this person will actually buy from us, we can expect revenue to be $450 x 30% = $135./nThe Business Problem You recently started working for a company that manufactures and sells high-end home goods. Last year the company sent out its first print catalog, and is preparing to send out this year's catalog in the coming months. The company has 250 new customers from their mailing list that they want to send the catalog to. Your manager has been asked to determine how much profit the company can expect from sending a catalog to these customers. You, the business analyst, are assigned to help your manager run the numbers. While fairly knowledgeable about data analysis, your manager is not very familiar with predictive models. You've been asked to predict the expected profit from these 250 new customers. Management does not want to send the catalog out to these new customers unless the expected profit contribution exceeds $10,000. Details The costs of printing and distributing is $6.50 per catalog. The average gross margin (price - cost) on all products sold through the catalog is 50%. • Make sure to multiply your revenue by the gross margin first before you subtract out the $6.50 cost when calculating your profit. Write a short report with your recommendations outlining your reasons why the company should go with your recommendations to your manager. Steps to Success Step 1: Business and Data Understanding Your project should include: ⚫ A description of the key business decisions that need to be made. Note: Clean data is provided for this project, so you can skip the data preparation step of the Problem Solving Framework. Step 2: Analysis, Modeling, and Validation Build a linear regression model, then use it to predict sales for the 250 customers. We encourage you to use Alteryx to build the best linear model with your data. Note: For students using software other than Alteryx, if you decide to use Customer Segment as one of your predictor variables, please set the base case to Credit Card Only. However, feel free to use any tool you'd like. You should create your linear regression model and come up with a linear regression equation.See Answer
  • Q14: INSTRUCTIONS: In this assignment, you answer questions about MPIs and EMPIS after reviewing the following articles: - Ensuring Data Integrity Through a Clean Master Patient Index - EMPIs, MSPs, and the cloud: Patient ID matching's next big opportunity Submit your assignment here. Make sure you've included all the required elements by reviewing the guidelines and rubric. Overview A master patient index (MPI) is an index of patients seen in a healthcare facility. The patient visits are linked together by a single identifier, such as the medical record number. Enterprise MPIs (EMPI) is a database that houses the information. By completing this assignment, you will enhance your understanding of master patient indexes (MPIs) and enterprise master patient indexes (EMPIs). Prompt In this assignment, you will review the articles found in the journal task within your learning environment. Then, you will answer questions about MPIs and EMPIs. These questions relate to the purpose, standards, quality elements, benefits, data elements, methods, and data mining related to MPIs or EMPIS. After reviewing the article, respond to these questions: What is the purpose of maintaining an enterprise MPI? What standards govern EMPIs, and what is the purpose of having such standards? What are the quality elements of an EMPI? What are the benefits of maintaining an accurate EMPI? What data elements are included in an MPI? What is the purpose of maintaining an enterprise-wide MPI? What are the methods to prevent duplicate entries? How is data mining related to a data dictionary and/or MPI? What to Submit 2 pages. In a Word document, respond to the questions. Use APA citations to cite your sources. APA style and citation and references need to be included and no plagirism pleaseSee Answer
  • Q15:Instructions: Data 2 Analysis: 3 Report Analysis: 1 Total US: 2 Retailer: 3 Competitive 4 Cost 5 Anything else Use all 3 tabs to finalize your analysis. Tab 2 - POS Data - sales data. Tab 3 - Competition data Tab 4 Cost Cogs info Please formulate your presentation to either just one or two products of your choice. (example: Chicken Bites and/or Chicken Strips). Create a report using your analysis with your final recommendation. Your report should summarise: a) Findings - high level b) Recommendation or problem Solves where applicable c) Next steps. Overall Questions to be addressed or answered Given YOY data, would you recommend any changes to price? Given your findings from TOT US, would you recommend any changes at any retailers Using the competition data, would you recommend any changes at either national (tot US) or retailer specific Given the costs for each of these, do you recommend any changes Any other recommendations that you may think is impactful/nSee Answer
  • Q16:/nPrompt Your task is to evaluate the employee survey results using a GROW Model Template and identify several survey questions that will target leadership skill and behavior improvement for the next two years. You will also represent the trends you've identified with bar or line graphs. For this assignment, you will complete the first five sections of the GROW model template: • Identified Trends • Employee Survey Results Data • Focus Areas •Reality-Current State • Desired Future State-Where Would You Like to Be? Specifically, you must address the following rubric criteria: 1. In the Identified Trends section, identify any noticeable trends in the Employee Satisfaction Survey Results data and address the following in your response. a. Are there certain focus areas that have seen significant changes compared to others? b. How might one focus area impact another? 2. In the Employee Survey Results Data section, create bar or line graphs from the employee survey results data that best represent the trends you've identified above. 3. In the Focus Areas section, identify three focus areas to improve the organization based on your evaluation, and provide rationale. 4. In the Reality-Current State section, explain the current state for each focus area you've identified above according to the employee survey results. Consider the following in your response: a. The potential impact on survey results over time, the "why." 5. In the Desired Future State-Where Would You Like to Be? section, create a goal to address each focus area you've identified within the next two years, and describe the impact to the entire organization. Consider the following in your response: a. The desired result should be 10% improvement for the next survey.See Answer
  • Q17: THE PROJECT: Build Resilience App The "Build Resilience" is a collaborative venture between Construction Services and Tech Applications Solutions to develop a mental health and well-being app tailored for the construction industry. However, you can just mention and explore briefly other instances/industries where the app might be of value. This project integrates stress management strategies with industry-specific stressors, offering a unique scoring system, user personas, and a tiered service model from free assessments to subscription-based solutions. It aims to foster a healthier, more resilient construction community by providing actionable insights and connecting users with third-party service providers, addressing the need for mental health support within this challenging industry sector. INTRODUCTION: Bobby Kidney, a Chartered Quantity Surveyor and founder of "The Construction Podcast," brings over 2 decades of experience across various roles, including client, contractor, and subcontractor. Bobby advocates for proper cash flow management to unleash the industry's wealth creation potential. His company serves as a knowledge hub, featuring insights from legal, financial, and operational professionals, offering tailored strategies for subcontractors and contractors alike, with the ultimate goal of elevating industry standards and fostering financial stability. Ali Jahn, the visionary co-founder of Tech Applications Solutions, leads the team in their endeavors as an engineering and software services collaborator. Specializing in product engineering and technology innovation for enterprises, SMBs, and startups, Tech Applications Solutions excels in diverse engineering capabilities, cloud-native expertise, experience design, and data engineering under Ali's guidance. With over 20 years of technology strategy and delivery experience, Ali's leadership drives the company's innovative solutions, showcasing exceptional execution skills and a commitment to organizational goals. Bobby, Ali and you are working together to develop the Build Resilience App. This app is designed to help individuals manage workplace stress, particularly in the construction industry. It identifies industry-specific stressors and provides strategies to handle them, aiming for a calmer, more effective work life. The app features a unique stressor/trigger tracking system for immediate support, long-term planning, and stress management tips. It helps users find their productive and happy places, while addressing areas of dissatisfaction. With different support levels, from immediate tips to free assessments and subscription-based solutions, the app aims to create a healthier, more resilient construction community. It provides actionable insights and connects users with third-party service providers, addressing the crucial need for mental health support in this challenging industry. YOUR TASK: Product/Service Development Plan Word Count Requirement: 4,000 words - 1. PESTEL Analysis (Focused on the UK Construction Sector Perspective) (1000 words) Develop diagrams illustrating the key political, economic, social, technological, environmental, and legal factors impacting the UK construction industry, citing reliable sources for statistical data. Generate graphs or tables presenting data specific to the UK market, such as government policies, economic indicators, societal trends, technological innovations, environmental regulations, and legal requirements relevant to construction, with proper citations. 2. Ansoff Matrix Analysis (UK Construction Sector Perspective) (1000 words) - Create a graphical representation of the Ansoff Matrix tailored to the UK construction sector, outlining potential growth strategies and market opportunities, supported by reputable industry reports. Utilize tables or graphs to showcase market penetration, market development, product development, and diversification strategies within the context of the UK construction industry, citing reliable market research findings and industry trends. 3. Existing Substitutes in the UK Overall Market (Doesn't have to be just construction): Develop a comparative table or graph highlighting existing substitutes within the UK construction industry, focusing on key features, strengths, and weaknesses, referencing credible industry analyses and market reports. You must use diagrams to visually illustrate the differentiation between the proposed products/services and existing substitutes, emphasizing unique value propositions and competitive advantages specific to the UK market, with citations to support the analysis. 4. Benefit Analysis for the UK construction sector: Generate or charts depicting the potential benefits of introducing the proposed products/services in the UK construction market, including revenue forecasts, market share projections, and customer satisfaction metrics, based on reliable market data and financial projections. (Chart that shows growth) Utilize tables to summarize quantitative and qualitative benefits identified through market research and customer feedback, citing credible sources to validate the projected benefits and value proposition of the offerings. 5. Market Fit Assessment in the UK Construction Industry as well how it can benefit other industries if possible: Develop visual representations (diagrams, graphs, or charts) illustrating the alignment between the proposed products/services and the specific needs, preferences, and trends observed within the UK construction market, with references to authoritative industry studies and customer surveys. Utilize tables to present survey data, market research insights, and customer feedback specific to the UK construction sector, demonstrating the market fit and demand for the offerings, supported by citations from reputable sources. 6. Feasibility and Viability Evaluation for the UK Construction Market:: - Create diagrams or flowcharts outlining the factors influencing the feasibility and viability of the proposed products/services within the UK construction industry, including technical requirements, resource availability, and financial considerations, citing credible industry reports and expert opinions. Use graphs to visualize projected costs, revenue streams, and ROI metrics associated with introducing the offerings in the UK construction market, supported by financial projections and industry benchmarks from reliable sources. 7. Competitive Analysis in the UK Sector for the same type of existing Applications: - Generate comparative graphs or tables analyzing the strengths, weaknesses, opportunities, and threats posed by competitors operating in the UK construction industry, referencing authoritative industry analyses and competitor profiles. Use diagrams to depict the competitive landscape within the UK construction market, identifying areas of differentiation and strategic positioning relative to key rivals, with citations to support the analysis. 8. Regulatory Compliance Assessment: - Develop tables or charts summarizing the regulatory requirements and legal considerations specific to the UK construction industry, including building codes, safety standards, and environmental regulations, citing relevant legislation and official guidelines. Research legal considerations from governmental websites ad make sure to cite. Use diagrams to outline the compliance process and regulatory framework applicable to the proposed products/services in the UK construction sector, ensuring alignment with industry standards and legal requirements, with references to authoritative sources. 9. References: Review and summarise an appropriate, focused range of published data (e.g. academicliterature, company, trade, and governmentpublications) Submission Guidelines: - - Integrate diagrams, graphs, and tables seamlessly into the findings section, aligning them with the corresponding analysis and insights. Ensure that each visual aid is labeled clearly, with descriptive captions explaining its purpose and relevance to the analysis. Use appropriate software tools (e.g., Microsoft Excel, PowerPoint, or specialized data visualization platforms) to create high-quality diagrams, graphs, and tables. Aim for a balance between textual analysis and visual representation, leveraging visual aids to enhance the clarity, impact, and persuasiveness of your findings. Additionally, ensure to include appendices containing supporting data and information, and provide proper Harvard style references citations page to acknowledge all sources used in the analysis.See Answer
  • Q18:Part 1: Using the research gathered in Project One, create a visualization for each of the following, then summarize what the data is showing about: 1. The current state of the U.S. automotive manufacturing industry 1. Sales by fuel type (electric, hybrid, gas) 2. Current automotive industry trends 1. The trend toward different types of motors for the vehicles being made and sold, such as electric and hybrid 2. Trends in customer demands such as vehicle color, extra features, and styles 3. Trends in the body types of vehicles sold (SUVs, trucks, sedans) 3. Trends in the chosen industry 1. Expected growth areas 2. Sales by type of products or services offered 3. Trends in customer demands Then, provide a summary of all of the data visualized. 1. Summarize the collective data about both industries as a whole. 2. Determine what the data is not telling you about the chosen industry./nSee Answer
  • Q19:3 Part 3 of 3 5 points Skipped Required information [The following information applies to the questions displayed below.] Keywords: Mean, Median, Standard Deviation, Range, Outlier, Box Plot Decision-Making Context: Retail companies need to monitor their sales to ensure they are meeting their goals across different sales channels. In this lab, we use Tableau to calculate summary statistics for a company's online and in-person sales to see how they compare. We then create a box plot to help visualize the distributions of the different types of sales. The Fruity Fruits Company sells exotic fruit from around the world to customers throughout the United States at retail outlets and online. It keeps a sales journal that records each sale and its related sales price and cost details. Required: 1. Visualize the dispersion of values using a box plot. 2. Add summary statistics. Data: Lab 3.2 Data.xlsx Specify the Question: What are the descriptive statistics for online and in-person sales? What does the distribution of the transaction amount look like? Based on the descriptive statistics and box plot, how do the online and in-person sales compare? Obtain the Data: This lab uses the data in Lab 3.2 Data.xlsx. This dataset is a condensed version of Fruity Fruits' sales data that show the sales earned for each transaction and the transaction type (online or in-person). Analyze the Data: Refer to lab 3.2 in your text for additional instructions and steps. Note: Submit your answers for the following Analysis Questions in the text entry field below. 1. The difference between the range of values for online sales transactions and in-person sales transactions seems to be significant. What insights can you draw from comparing the ranges? 2. On a new sheet, drag In-Person to the canvas and use the dropdown in the pill to change the measure to count. The canvas now shows the number of observations for In-person sales. Repeat the process for online sales. How many observations were included in the dataset for each type of sales transaction? How might the different size samples impact the other statistical values?See Answer
  • Q20:5 1 Part 1 of 3 points Skipped Required: 1. Visualize the dispersion of values using a box plot. 2. Add summary statistics. Data: Lab 3.2 Data.xlsx Specify the Question: What are the descriptive statistics for online and in-person sales? What does the distribution of the transaction amount look like? Based on the descriptive statistics and box plot, how do the online and in-person sales compare? Obtain the Data: This lab uses the data in Lab 3.2 Data.xlsx. This dataset is a condensed version of Fruity Fruits' sales data that show the sales earned for each transaction and the transaction type (online or in-person). Analyze the Data: Refer to lab 3.2 in your text for additional instructions and steps. eBook Print References Upload one Word or PDF document containing all of your screenshots for this Lab using the button below. Note: Please submit your file attachment response in one of the approved file formats; Word file (.doc or .docx), Excel file (.xls or .xlsx), or PDF. To submit photo or image files please paste them into Word or PDF. Consult with your instructor as needed on their preferred file attachment format. Take a screenshot of your summary card statistics calculations, copy it into a Word document named "Lab 3.2 Tableau Submission.docx", and label the screenshot Submission 1. Take a screenshot of the box plot, copy it into the same Word document, and label the screenshot Submission 2.See Answer
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