a. Test the claim using a hypothesis test. 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? O A. Ho: P1 P2 H1: P1 = P2 O B. Ho: P12 P2 H: P1 P2 O C. Ho: P1 = P2 H: P1 P2 O D. Ho: P1 SP2 H1: P1 P2 O E. Ho P1 = P2 H1: P1 P2 Identify the test statistic. (Round to two decimal places as needed.) Identify the P-value.

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Test statistic- round two decimal places P value- round three decimal places
What is the conclusion based on the hypothesis test?
The P-value is
V the significance level of a= 0.05, so
V the null hypothesis. There
sufficient evidence to support the claim that the
fatality rate is higher for those not wearing seat belts.
b. Test the claim by constructing an appropriate confidence interval.
The appropriate confidence interval is < (P1 - P2) <U
(Round to three decimal places as needed.)
What is the conclusion based on the confidence interval?
0, it appears that the two fatality rates are
V Because the confidence interval limits include
Because the confidence interval limits
V values, it appears that the fatality rate is
for those not wearing seat belts.
c. What do the results suggest about the effectiveness of seat belts?
Transcribed Image Text:What is the conclusion based on the hypothesis test? The P-value is V the significance level of a= 0.05, so V the null hypothesis. There sufficient evidence to support the claim that the fatality rate is higher for those not wearing seat belts. b. Test the claim by constructing an appropriate confidence interval. The appropriate confidence interval is < (P1 - P2) <U (Round to three decimal places as needed.) What is the conclusion based on the confidence interval? 0, it appears that the two fatality rates are V Because the confidence interval limits include Because the confidence interval limits V values, it appears that the fatality rate is for those not wearing seat belts. c. What do the results suggest about the effectiveness of seat belts?
A simple random sample of front-seat occupants involved in car crashes is obtained. Among 2888 occupants not wering seat belts, 31 were killed. Among 7856
occupants wearing seat belts, 11 were killed. Use a 0.05 significance level to test the claim that seat belts are effective in reducing fatalities. Complete parts (a) through
(c) below.
a. Test the claim using a hypothesis test.
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?
O A. Ho: P1 + P2
H1:P1 = P2
O B. Ho P1 2 P2
H1: P1 P2
O C. Ho P1 = P2
H1: P1 #P2
OF. Ho P1 P2
H1: P1> P2
O E. Ho P1 = P2
O D. Ho P1 SP2
H1: P1 #P2
H1: P1 <P2
Identify the test statistic.
(Round to two decimal places as needed.)
Identify the P-value.
Transcribed Image Text:A simple random sample of front-seat occupants involved in car crashes is obtained. Among 2888 occupants not wering seat belts, 31 were killed. Among 7856 occupants wearing seat belts, 11 were killed. Use a 0.05 significance level to test the claim that seat belts are effective in reducing fatalities. Complete parts (a) through (c) below. a. Test the claim using a hypothesis test. 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? O A. Ho: P1 + P2 H1:P1 = P2 O B. Ho P1 2 P2 H1: P1 P2 O C. Ho P1 = P2 H1: P1 #P2 OF. Ho P1 P2 H1: P1> P2 O E. Ho P1 = P2 O D. Ho P1 SP2 H1: P1 #P2 H1: P1 <P2 Identify the test statistic. (Round to two decimal places as needed.) Identify the P-value.
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