Researchers collected data on the numbers of hospital admissions resulting from motor vehicle crashes, and results are g

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Researchers collected data on the numbers of hospital admissions resulting from motor vehicle crashes, and results are g

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Researchers Collected Data On The Numbers Of Hospital Admissions Resulting From Motor Vehicle Crashes And Results Are G 1
Researchers Collected Data On The Numbers Of Hospital Admissions Resulting From Motor Vehicle Crashes And Results Are G 1 (64.12 KiB) Viewed 27 times
Researchers collected data on the numbers of hospital admissions resulting from motor vehicle crashes, and results are given below for Fridays on the 6th of a month and Fridays on the following 13th of the same month. Use a 0.05 significance level to test the claim that when the 13th day of a month falls on a Friday, the numbers of hospital admissions from motor vehicle crashes are not affected. Friday the 6th: Friday the 13th: 10 15 5 12 12 18 12 11 6 14 6 What are the hypotheses for this test? Let Hy be the difference between the means in the numbers of hospital admissions resulting from motor vehicle crashes for the population of all pairs of data. How = 0 H: 0 Find the value of the test statistic. t= -2.928 (Round to three decimal places as needed.) Identify the critical value(s). Select the correct choice below and fill the answer box within your choice. (Round to three decimal places as needed.) O A. The critical value ist OB. The critical values are t= . State the result of the test Choose the correct answer below. O A. There is not sufficient evidence to warrant rejection of the claim of no effect Hospital admissions do not appear to be affected. B. There is sufficient evidence to warrant rejection of the claim of no effect. Hospital admissions do not appear to be affected. O C. There is not sufficient evidence to warrant rejection of the daim of no effect Hospital admissions appear to be affected. OD. There is sufficient evidence to warrant rejection the claim of no effect. Hospital admissions appear to be affected.
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