A sample of 50 credit customers is selected with data collected on the following five variables: Analyze each variable by itself using graphical and numerical techniques of summarization. You may wish to use some of the following graphs: More is not necessarily better.

Your instructor will provide you with a data file that includes data on five variables: SALES represents the number sales made this week. CALLS represents the number of sales calls made this week.

TIME represents the average time per call this week. YEARS represents years of experience in the call center. TYPE represents the type of training the employee received. Exploratory Data Analysis Preparation Open the files for the course project and the data set.

For each of the five variables, process, organize, present and summarize the data. Analyze each variable by itself using graphical and numerical techniques of summarization.

Use Excel as much as possible, explaining what the results reveal. Some of the following graphs may be helpful: More is not necessarily better. In addition be sure to find the appropriate measures of central tendency, the measures of dispersion, and the shapes of the distributions for the quantitative variables for the above data.

Once again, use Excel as appropriate, and explain what the results mean. Analyze the connections or relationships between the variables. There are ten possible pairings of two variables.

Use graphical as well as numerical summary measures. Explain the results of the analysis. Be sure to consider all 10 pairings. Some variables show clear relationships, while others do not.

Report Requirements From the variable analysis above, provide the analysis and interpretation for three individual variables. This would include no more than 1 graph for each, one or two measures of central tendency and variability as appropriatethe shapes of the distributions for quantitative variables, and two or three sentences of interpretation.

For the 10 pairings, identify and report only on three of the pairings, again using graphical and numerical summary as appropriatewith interpretations.

Please note that at least one pairing must include a qualitative variable and at least one pairing must not include a qualitative variable.

Prepare the report in Microsoft Word, integrating graphs and tables with text explanations and interpretations. Be sure to include graphical and numerical back up for the explanations and interpretations.

Be selective in what is included in the report to meet the requirements of the report without extraneous information. All DeVry University policies are in effect, including the plagiarism policy.

Project Part A report is due by the end of Week 2. Project Part A is worth total points. See grading rubric below. The report, including all relevant graphs and numerical analysis along with interpretations Format for report: Discuss 1st individual variable, using graphical, numerical summary and interpretation Discuss 2nd individual variable, using graphical, numerical summary and interpretation Discuss 3rd individual variable, using graphical, numerical summary and interpretation Discuss 1st pairing of variables, using graphical, numerical summary and interpretation Discuss 2nd pairing of variables, using graphical, numerical summary and interpretation Discuss 3rd pairing of variables, using graphical, numerical summary and interpretation Conclusion Part A: Hypothesis Testing and Confidence Intervals Complete the following four hypotheses, using?

Mean sales per week exceeds Write a report about the results, distilling down the results in a way that would be understandable to someone who does not know statistics.

Clear explanations and interpretations are critical. Project Part B report is due by the end of Week 6.

Project Part B is worth total points. Summary Report about one paragraph on each of the speculations a. Appendix with the calculations of the Seven Elements of a Test of Hypothesis, the p-values, and the confidence intervals. Include the Excel formulas used in the calculations. Grading Rubric Addressing each speculation—20 points each 80 80 Hypothesis test, interpretation, confidence interval, and interpretation Summary report clarity 20 20 One paragraph on each of the speculations Total A quality paper will meet or exceed all of the above requirements.

Regression and Correlation Analysis Use the dependent variable labeled Y and one of the independent variables labeled X1, X2, and X3 in the data file.GM W7 Course Project - Perez V5.

Case Study Paper Week 3 GM Course Project - GM MM Question Solution. Final. MGMT Final Exam Questions. Math Final Review. Math Part b Project. Week 3 Homework ES. Mgmt You Decide Week 6. Fi Test 2. Math Course Project Part B Essay Words | 6 Pages AJ DAVIS AJ DAVIS MATH Project Consumer Tel – July 21st MATH Project Consumer Tel – July 21st Lakshan Nanayakkara AJ DAVIS is a department store chain, which has .

Author AccountingEssayHelp Posted on June 2, The Important Role of the Auditor Recently (in the United Sates especially) the independence and objectivity of auditors has been a major concern, and has been brought to the forefront.

•Open the file MATH Project from the Course Project Data Set folder in Doc Sharing. TotalA quality paper will meet or exceed all of the above requirements. Project Part B: Hypothesis Testing and Confidence Intervals.

Your manager has speculated the following. Course Project Part B a.

the average (mean) annual income was less than $50, Null and Alternative Hypothesis H0: mu= 50 (in thousands) Ha: mu. Open the file ashio-midori.com from Doc Sharing. Summarize the data for each of the five variables.

For each variable, find the mean, median, variance, and standard deviation.

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5- Discussion - Math