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A simple random sample of front-seat occupants involved in car crashes is obtained. Among 2704 occupants not wearing seat belts, 35 were killed. Among

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A simple random sample of front-seat occupants involved in car crashes is obtained. Among 2704 occupants not wearing seat belts, 35 were killed. Among 7729 occupants wearing seat belts, 10 were killed. Use a 0.01 significance level to test the claim that seat belts are effective in reducing fatalities. Complete parts (a) through (c) below. Consider the first sample to be the sample of occupants not wearing seat belts and the second sample to be the sample of occupants wearing seat belts. What are the null and alternative hypotheses for the hypothesis test? OA. Ho: P = P2 H: P1 P2 D. Ho: P SP2 H: P P Identify the test statistic. z = 7.95 (Round to two decimal places as needed.) Identify the P-value. P-value = 0 (Round to three decimal places as needed.) H: P1 P2 B. Ho P1 P2 OE. H: P 20 H: P1 P2 C. Ho: P1 P2 H: P1 P2 OF. Ho: P1 P2 H: D *P2 What is the conclusion based on the hypothesis test? The P-value is less than the significance level of = 0.01, so wearing seat belts. reject the null hypothesis. There is sufficient evidence to support the claim that the fatality rate is higher for those not b. Test the claim by constructing an appropriate confidence interval. The appropriate confidence interval is < (P1-P2)

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