Scenario Land and Agua Insurance Company has a call center in Tempe, Arizona. The business was originally established in Phoenix, Arizona in 1972 as a small business, and it has grown with the population of the area. The insurance company specializes in bundling insurance for cars, off-road vehicles, and watercraft (e.g., jet skis and boats). The company has 150,000 clients in Arizona. Marjorie Jones, Vice President of Operations, is concerned about customer complaints and the amount of time representatives are taking to resolve the calls. The team must focus on two areas from the preliminary data collection including call time and error type by shift. 2. Answer the questions below in essay format. Your essay must include an introduction, a body, and a conclusion. It must address all relevant parts of each question. Your response should be a minimum of 500 words in length, and it should include both the appropriate statistics and support for the analysis and interpretation. Make sure to cite any source you use. Proper citation format for a source includes the name of the author(s), the title of the work, the date of the publication, and the page number if you directly quote the source. Essay Questions: Hypothesis Tests Using the Sample Hypothesis Test Data and Chi-Square Data, provide a summary report for the vice president including the following information in an essay with a minimum of 500 words (the level of significance is .05):
Questions 1. • Two-sample hypothesis test ‒ Discuss the hypothesis test assumptions and test you used. Provide the test statistic and critical-value in your response. Evaluate the results of the hypothesis test with the scenario. Provide recommendations for the vice president.
2. • Chi-square hypothesis test ‒ Discuss the hypothesis test assumptions and test you used. Provide the test statistic and critical value in your response. Evaluate the results of the hypothesis test with the scenario. Provide recommendations for the vice president.
2 Sample Hypothesis test data
| Shift | Call Time |
| AM | 6.5 |
| AM | 6.5 |
| AM | 6.5 |
| AM | 6.5 |
| AM | 7 |
| AM | 7 |
| AM | 7 |
| AM | 7 |
| AM | 7 |
| AM | 8 |
| AM | 8 |
| AM | 8.5 |
| AM | 8.5 |
| AM | 9 |
| AM | 9 |
| AM | 9 |
| AM | 9 |
| AM | 9.5 |
| AM | 9.5 |
| AM | 10 |
| AM | 10 |
| AM | 10 |
| AM | 10 |
| AM | 10 |
| AM | 10.5 |
| AM | 10.5 |
| AM | 10.5 |
| AM | 10.5 |
| AM | 10.5 |
| AM | 10.5 |
| AM | 10.5 |
| AM | 10.5 |
| AM | 10.5 |
| AM | 11.5 |
| AM | 11.5 |
| AM | 11.5 |
| AM | 12 |
| AM | 12 |
| AM | 12 |
| AM | 12 |
| AM | 12.5 |
| AM | 12.5 |
| AM | 13 |
| AM | 13 |
| AM | 13.5 |
| AM | 15.5 |
| AM | 16 |
| AM | 16.5 |
| AM | 17 |
| AM | 18 |
| PM | 6 |
| PM | 9 |
| PM | 9.5 |
| PM | 10 |
| PM | 10.5 |
| PM | 10.5 |
| PM | 11 |
| PM | 11 |
| PM | 11 |
| PM | 11 |
| PM | 11.5 |
| PM | 11.5 |
| PM | 11.5 |
| PM | 12 |
| PM | 12 |
| PM | 12 |
| PM | 12 |
| PM | 12 |
| PM | 12 |
| PM | 12 |
| PM | 12.5 |
| PM | 12.5 |
| PM | 12.5 |
| PM | 12.5 |
| PM | 13 |
| PM | 13 |
| PM | 13.5 |
| PM | 13.5 |
| PM | 14 |
| PM | 14 |
| PM | 14 |
| PM | 14 |
| PM | 14 |
| PM | 14.5 |
| PM | 14.5 |
| PM | 14.5 |
| PM | 15 |
| PM | 15 |
| PM | 15.5 |
| PM | 16 |
| PM | 16.5 |
| PM | 17 |
| PM | 17.5 |
| PM | 18 |
| PM | 18 |
| PM | 18 |
| PM | 18.5 |
| PM | 19 |
| PM | 19.5 |
| PM | 19.5 |
| AM | 5.25 |
| PM | 5.25 |
| AM | 5.25 |
| PM | 5.25 |
| AM | 5.75 |
| PM | 5.75 |
| AM | 5.75 |
| PM | 5.75 |
| AM | 5.75 |
| PM | 6.75 |
| AM | 6.75 |
| PM | 7.25 |
| AM | 7.25 |
| PM | 7.75 |
| AM | 7.75 |
| PM | 7.75 |
| AM | 7.75 |
| PM | 8.25 |
| AM | 8.25 |
| PM | 8.25 |
| AM | 8.75 |
| PM | 8.75 |
| AM | 8.75 |
| PM | 8.75 |
| AM | 8.75 |
| PM | 9.25 |
| AM | 9.25 |
| PM | 9.25 |
| AM | 9.25 |
| PM | 9.25 |
| AM | 9.25 |
| PM | 9.25 |
| AM | 9.25 |
| PM | 10.25 |
| AM | 10.25 |
| PM | 10.25 |
| AM | 10.75 |
| PM | 10.75 |
| AM | 10.75 |
| PM | 10.75 |
| AM | 11.25 |
| PM | 11.25 |
| AM | 11.75 |
| PM | 11.75 |
| AM | 12.25 |
| PM | 14.25 |
| AM | 14.75 |
| PM | 15.25 |
| AM | 15.75 |
| PM | 16.75 |
| Chi-Square Data | Shift | ||
| Error Type | AM | PM | Total |
| COV | 26 | 28 | 54 |
| CLM | 19 | 23 | 42 |
| SAV | 20 | 12 | 32 |
| STAT | 10 | 12 | 22 |
| Total | 75 | 75 | 150 |
