final test res342 - 31) Seamens Manufacturing has five...

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31) Seamen’s Manufacturing has five hundred employees at its plant. These employees are divided into three main groups: administration, clerical, and labor. The company is looking at making some changes to it retirement plan that is available for employees. There are three plans beginning considered. The 500 employees were surveyed regarding their preferences for the various retirement plans. The president is concerned if there is a relationship between the person position in the company and which retirement plan was preferred. Utilize the chi square distribution at the .05 significant level, and determine if there is a relationship between position in company and the retirement plan selected. Position Plan A Plan B Plan C Labor 170 50 30 Clerical 30 110 30 Administration 20 20 40 A. The calculated test result of 7.94 is less than the critical value, so accept the null hypothesis. B. The calculated test result of 7.94 is less than the critical value, so reject the null hypothesis. C. The calculated test result of 7.94 is greater than the critical value, so reject the null hypothesis. D. The calculated test result of 7.94 is greater than the critical value, so accept the null hypothesis. 32) Rachael Smith is the personnel manager at Johnson and Johnston, an accounting firm. She is concerned about tardiness, which seems to be an increasing problem, especially after days off work. She decided to sample the records to determine if tardiness was distributed evenly throughout the 6-day work week. The null hypothesis to be tested was: Tardiness is distributed evenly throughout the week. The 0.01 level was used as the significant level. The sample results were: Day of Week Number Absent Monday 12 Tuesday 9 Wednesday 11 Thursday 10 Friday 9 Saturday 9 What is the critical value of chi-square with a significant level of = 0.05? A. 11.070 B. 12.592
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A. 11.070 C. 13.388 D. 15.033 33) The Ohio Department of Highways is in the process of selecting a new paint for highway use. Four different paint companies have been contact regarding this need and each of the companies has supplied paint for testing. Before deciding the winner of the new contract, a test was conducted to determine which paint was the best, in terms of how long it would last. The results of the test are as follows: Categor y Paint A Paint B Paint C Paint D Days 345 320 350 310 Each paint is expected to last 330 days. Is there a significant difference between these four paints? Use the chi square distribution at the .05 significant level to answer this question. A. The test result is greater than the critical value, so there is a significant difference. B. The test result is less than the critical value, so there is not a significant difference. C. Paint B and D are significantly different then paints A and C.
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final test res342 - 31) Seamens Manufacturing has five...

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