A simple random sample of​ front-seat occupants involved in car crashes is obtained. Among 2736 occupants not wearing seat​ belts, 3131 were killed. Among 7686 occupants wearing seat​ belts, 18 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. 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?     A. Upper H 0H0​: p 1p1greater than or equals≥p 2p2 Upper H 1H1​: p 1p1not equals≠p 2p2   B. Upper H 0H0​: p 1p1equals=p 2p2 Upper H 1H1​: p 1p1not equals≠p 2p2   C. Upper H 0H0​: p 1p1equals=p 2p2 Upper H 1H1​: p 1p1greater than>p 2p2   D. Upper H 0H0​: p 1p1not equals≠p 2p2 Upper H 1H1​: p 1p1equals=p 2p2   E. Upper H 0H0​: p 1p1less than or equals≤p 2p2 Upper H 1H1​: p 1p1not equals≠p 2p2   F. Upper H 0H0​: p 1p1equals=p 2p2 Upper H 1H1​: p 1p1less than<p 2

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2-Proportion Test

In a 2-proportion test, two separate proportions are measured at the same time, and their similarity is evaluated. It is also known as a 2-proportion z-test, and a comparison of two different proportions is done in this method.