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Q1:Based on this data, are girls significantly more likely than boys to have left out cookies for Santa in 2016? In your write-up, be sure to mention the percentage of boys in this sample who left out cookies, as well as the percentage of girls in this sample who have left out cookies.See Answer
Q2:Using this data, are people who use listerine more likely to have visited haunted houses than those who have not used listerine? In your write-up, be sure to include percentages and statistics in APA format!See Answer
Q3:Fit a binary logistic regression model with admission decision as the dependent variable, GRE and GPA as the independent variables. Need to use SPSS Evaluate the goodness of fit of the model. Determine the significance of independent variables. Interpret odds ratios for independent variables. State the binary logistic regression equation. Evaluate the classification accuracy of the model. Check if the residuals are independent. Submission Details: Submit a 3-4 page Microsoft Word document, using APA style. The relevant SPSS output should be copied to this document.See Answer
Q4:Tasks: Examine if the given data is suitable for the application of linear discriminant analysis. Create a linear discriminant function predicting admission decisions. Comment on the classification accuracy. Predict the admission decision given GRE score = 690 and GPA = 3.2. Perform logistic regression analysis for the data. Compare the classification accuracies of both methods. Submission Details: Submit a 3-4 page Microsoft Word document, using APA style. The relevant SPSS output should be copied to this document.See Answer
Q5:/nNOTE: Brand A: Refill Revolution (RR) - https://www.refillrevolution.co.uk/ Eco Village (EV) - https://eco-village.co.uk/ You need to check one of this two brand and must complete the workbook, on one of this 2 brands mentioned above Need to use SPSS for analysis/ For the interview. https://filetransfer.io/data-package/v9Qyjc6p/download https://filetransfer.io/data-package/sgLavUgC/downloadSee Answer
Q6:12:28 Back Module 5 Assignment יון Assignment Description: Data Analysis There are many resources available for data analysis. The resources you use will depend, in large part, on the type of data you have and the decisions that must be made based on that data, and the question you are seeking to answer. This assignment is designed to provide you with a basic understanding of one method for running your analysis by using IBM's SPSS Statistics software. You are not being asked to purchase this software. You will only need to download a free trial of SPSS for this course. This version of SPSS is only to be used to review, demonstrate, and evaluate IBM SPSS Statistics Software for purchase considerations later. Your trial period is only for 14 days, so you must use good judgment in when to download it and complete the assignment. You will find this link in the additional materials under digital software resources. Please see the additional video tutorials in the additional resources. Quality Improvement Scenario: You are a Doctorate in Nursing Practice (DNP) entrepreneur at your clinical practice location; you have identified an area for improvement./n12:29 Back Module 5 Assignment יון 2. Consider the discussion and the any insights you gained from it. 3. Review the rubric and the specifications below to ensure that your response aligns with all assignment expectations. 4. Create your assignment submission and be sure to cite your sources, use APA style as required, check your spelling, and review the rubric. The following specifications are required for this assignment: Length: 1500-word count; answers must thoroughly address the questions in a clear, concise manner. Structure: Your paper should follow APA standards, have a discrete introduction (with purpose statement), body, and conclusion summary, and appendixes. The title page, references, and appendixes do not count toward the minimum word count for this assignment. References: Use the appropriate APA style in-text citations and references for all resources utilized to answer the questions. Include at least three (3) scholarly sources to support your claims. Format: Save your assignment as a Microsoft Word document (.doc or .docx). Filename: Name your saved Tile according/n12:28 Back Module 5 Assignment יון Execute the following functions using SPSS. Enter the following data: Gender Timed Pre-test Post-test Case Age Test score score 1 Male 2430 65 80 2 Female 287 65 75 3 Female 23 12 80 85 4 Male 31 15 83 90 5 Male 24 17 75 80 6 Female 48 45 45 72 7 Female 55 25 100 100 8 00 Male 27 15 95 100 9 Male 23 10 75 83 10 Female 62 22 189 99 a) Run descriptive statistics on the data (provide a screen shot of your results and report in appendix of your paper). b) Run a frequencies distribution on the data (provide a screen shot of your results and report in appendix of your paper). c) Create a graph comparing the pretest and posttest scores by gender (provide a screenshot of your results and report in the Appendix of your paper). Following APA formatting, craft a scholarly paper addressing the following analysis findings. 1. Explain the value of understanding the SPSS software and how this could help you understand your project data./n12:29 Back Module 5 Assignment יון Following APA formatting, craft a scholarly paper addressing the following analysis findings. 1. Explain the value of understanding the SPSS software and how this could help you understand your project data. 2. What other metrics did the SPSS offer that could help you support your findings? 3. What was your mean for each of the variables? Any concerns with the accuracy? 4. What was your standard deviation? Explain your findings: the appropriateness of the deviation and did it fall into a normal distribution. 5. Explain what the T-test is and how it would be used. Would it be applicable to the data that you are running? Or would it be more of a good fit for comparing the pre and post of your implementation findings? Explain your rationale. M5 Assignment UMBO – 1, 2, 3, 4, 5 M5 Assignment PLG - 1, 3, 4, 6, 8, 9 M5 Assignment CLO-1, 2, 6 Assignment Dropbox/n12:29 Back Module 5 Assignment יון Start by reading and following these instructions: 1. Study the required chapter(s) of the textbook and any additional recommended resources. Some answers may require you to do additional research on the Internet or in other reference sources. Choose your sources carefully. 2. Consider the discussion and the any insights you gained from it. 3. Review the rubric and the specifications below to ensure that your response aligns with all assignment expectations. 4. Create your assignment submission and be sure to cite your sources, use APA style as required, check your spelling, and review the rubric. The following specifications are required for this assignment: Length: 1500-word count; answers must thoroughly address the questions in a clear, concise manner. Structure: Your paper should follow APA standards, have a discrete introduction (with purpose statement), body, and conclusion summary, and appendixes. The title page, references, and appendixes do not count toward the minimum word count for this assignment.See Answer
Q7: PRESENT ALL RELEVANT SPSS OUTPUTS IN THE SAME WORD DOCUMENT AS YOUR ANSWERS. See Appendix on page 6 for Critical Chi-Square (X2) values at p=0.05 Section A: Answer all questions in I-V below in 1500 words (excluding tables, data, graphs). (Total marks 100). Marks for each question are mentioned across it. The instructions for answering questions I-IV and V are given below. Instructions for ques I-IV: You are interested in finding out whether respondent's ‘attitude towards voting' is influenced by their ‘level of satisfaction with political parties or politicians' and attributes such as their ‘social class' (or income level). You are provided with the dataset "RSM BES2015.sav”. You will need to browse through this dataset and identify three variables - one representing respondent's ‘attitude towards voting', another representing respondent's ‘level of satisfaction with political parties or politicians' and the third variable that represents their ‘social class' (or income level). Based on the selection of appropriate variables, you need to answer all questions I - IV below. Question I (Total Marks 40) 1. Briefly explain the reasons for selecting your three variables based on the information provided above. (4 marks) 2. Comment on the level of measurement for each of the three variables you have selected. (6 marks) 3. Recode these variables appropriately, where needed, so that you can present them effectively in graphs, tables in Ques I and cross-tabulations required in questions II, III and IV. Explain the decisions you have made whilst doing this. (6 marks) * Create suitable descriptive statistics, including one appropriate graph and one table for each of the three selected variables. Briefly discuss your outputs. (18 marks) * Create, interpret and briefly discuss up to two suitable numerical statistics for each of the three selected variables. (6 marks) Question II (Total Marks 15) 1. Set up hypothesis testing for the association between the variables representing respondent's 'attitude towards voting' and their ‘level of satisfaction with political parties or politicians' by generating suitable null and alternative hypotheses. (2 marks) * Specify the dependent and independent variables in the stated association. (2 marks) * Create a two-way cross-tabulation between these recoded variables. Briefly discuss two cell values. (4 marks) * Using the Chi-square test for independence, generate appropriate statistics to test the statistical significance and the strength of the association between these two variables. Is the association between these variables statistically significant? Explain your answer. (5 marks) * Comment on the strength of the association between these variables using appropriate statistics. (2 marks) Question III (Total Marks 20) 1. Set up hypothesis testing for association between the variables representing respondent's ‘attitude towards voting' and their social class' (or income level) by generating suitable null and alternative hypotheses. (2 marks) * Specify the dependent and independent variables in the stated association. (2 marks) * Create and briefly discuss the two-way cross-tabulation between the recoded variables. Briefly discuss two cell values. (4 marks) * Using the Chi-square test for independence, generate the appropriate statistics to test the statistical significance and the strength of the association between these variables. Is the association between the variables statistically significant? Explain your answer. (5 marks) * Comment on the strength of the association between these variables using appropriate statistics. (3 marks) * Compare the strength of associations in questions II and III above and discuss using appropriate statistics which of the two variables - respondent's ‘level of satisfaction with political parties or politicians' or their 'social class' (or income level) affects respondent's ‘attitude towards voting' more. (4 marks) Question IV (Total Marks 15) 1. Create a three-way cross-tabulation between variables representing respondent's ‘attitude towards voting' and 'level of satisfaction with political parties or politicians' with social class' (or income level) as the third variable. * Generate suitable null and alternative hypotheses for the association between these variables. (4 marks) * Create and briefly discuss the three-way cross-tabulation between the recoded variables. Briefly discuss two cell values. (4 marks) * Using the Chi-square test for independence, generate and interpret appropriate statistics to test the statistical significance and the strength of the association between these variables representing respondent's ‘attitude towards voting' and ‘level of satisfaction with political parties or politicians' across respondent's social class' (or income level). Comment on the statistical significance of these associations. (4 marks) * Does the nature, direction or strength of the association between the variables representing respondent's 'attitude towards voting' and their ‘level of satisfaction with political parties or politicians' vary across different categories of the third variable - respondent's social class' (or income level). Interpret appropriate statistics and explain your answer. (3 marks) Question V (Total Marks 10) 1. From the dataset provided ("RSM BES2015.sav") select one variable measured on the 'scale' level of measurement and briefly explain your selection. (2 marks) a. Create on appropriate graph for the selected scale variable and provide a brief explanation on the distribution of this variable. (3 marks) b. Generate appropriate numerical statistics for the selected variable and interpret and briefly discuss three of these numerical statistics. (5 marks)See Answer
Q8:/n INSTRCUCTIONS Need to do analysis in SPSS, Sample is also attached Need to compute for the mean rank (and provide values in the blank table) Also you need to compute for the chi square test (x2), the df and the p-valueSee Answer
Q9:/n Tasks: • • • • Perform PCA of the data. Identify principal components that account for 80% of total variability. State principal components as linear combination of given set of variables. Explain how you will compute scores selecting one of the components. Need to use SPSS and answet the questions in WordSee Answer
Q10:1. Use the Recidivism.xls data, conduct an independent sample t-test (alpha= .05) in Excel to determine whether there is a significant difference in AGE between those who recidivated (RECIDIVISM=1) and those who did not recidivate (RECIDIVISM=0). For this t-test, assume that the variances of the two groups are equal. Copy and paste the Excel output here. In your summary, please discuss the null hypothesis, alternative hypothesis, the result of this hypothesis test, and interpret the result.See Answer
Q11:2. Use the Recidivism.xls data, conduct an independent sample t-test (alpha= .05) in Excel to determine whether there is a significant difference in AGE between those who recidivated (RECIDIVISM=1) and those who did not recidivate (RECIDIVISM=0). For this t-test, assume that the variances of the two groups are unequal. Copy and paste the Excel output here. In your summary, please discuss the null hypothesis, alternative hypothesis, the result of this hypothesis test, and interpret the result.See Answer
Q12:3. Use the Recidivism.xls data, conduct an ANOVA (alpha= .05) in Excel to determine whether there is a significant difference in AGE across different CRIME (1=violent, 2=property, and 3=drug). Copy and paste the Excel output here. In your summary, please discuss the null hypothesis, alternative hypothesis, the result of this hypothesis test, and interpret the result.See Answer
Q13:Question 1 (a) (i) Find the mean and standard deviation of the amount of body fat, triceps skinfold thickness, thigh circumference and midarm circumference. Show the output. (ii) Interpret the output that you produced in part (b)(i). (b) (i) Plot a Histogram and Box-plot by using the amount of body fat variable. (ii) Describe the skewness of the distribution exhibited. (iii) Plot a QQ-plot by using the amount of body fat variable. (iv) By using only the QQ-plot, deduce whether the amount of body fat is normally distributed. Justify your answer. (c) (i) Perform the normality test on the amount of body fat variable and show the output. (ii) State the conclusion of the test. Give your justification. See Answer
Q14:Question 1 Using the data in Section A to answer this question. (a) Use two sample independent t-test to assess whether there is difference in means of amount of body fat between different genders. (i) State the null and alternative hypothesis. (ii) Show the t-statistics output and identify the value of test statistics. (iii) Find the critical value. (iv) Interpret the result using (ii) and (iii). (v) Identify the p value from the output in (ii). (vi) Interpret the result using (v). (vii) Draw conclusion based on (iv) and (vi). (viii) Identify the confidence interval based on the output. (b) The researcher wants to identify the quantitative variables which are significant predictors (root causes) of amount of body fat. Carry out hypothesis test using multiple linear regression. Your SPSS analysis result outputs, interpretation and conclusion should cover: Model Summary, ANOVA table and Coefficient of Regression table. (i) For model summary: Show your SPSS outputs; Interpret the meaning of R-square. (ii) For ANOVA table: Show your SPSS outputs; Write down the relevant hypotheses; State the conclusion to make. (iii) For Coefficient of Regression table: Show your SPSS outputs; Write down the respective hypotheses; State the respective conclusion to make. (iv) From your SPSS results obtained in part (a), rank in order of importance the three causes of amount of body fat. See Answer
Q15:(a) Briefly discuss one-way Analysis of Variance (ANOVA). (b) Obtain the mean for each technique and ANOVA table output using SPSS. (c) Test whether the effectiveness of these techniques is different. Use level of significance of 1%. (d) Briefly discuss the implication of the result in part (c). See Answer
Q16:I recently went around with a friend at a convention and asked 150 random people one of two questions. I either asked them if they would believe that half of the people in Maryland smoke marijuana OR if they would believe that 58.6% of people in Maryland smoke marijuana. Using the differences in the presentation of the information to our populous, determine if people are more likely to believe data that is more specific, or that is general based.See Answer
Q17:When should you use a two-way chi-square test to analyze data? When should you use an independent t-test to analyze data? Outline an example of a study that would use a two-way chi-square design and explain why this is the right test.See Answer
Q18: Correlation Application and Interpretation Complete an SPSS data analysis report to analyze correlation for assigned variables.See Answer
Q19:SPSS Data Entry, Data Dictionary, Frequency Procedure Assignment Overview The public health professional should have a basic understanding and familiarity with statistical and analytic software. Correct data entry and variable naming and labeling are crucial aspects of data management and analysis.See Answer

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