A simple random sample of front-seat occupants involved in car crashes is obtained. Among 2807 occupant. not wearing seat belts, 33 were killed. Among 7718 occupants wearing seat belts, 19 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? O A. Ho: P1 = P2 O B. Ho: P12 P2 OC. Ho: P1 < P2 H1: P1>P2 H: P1 P2 H1: P1 P2 O E. Ho: P1 P2 O F. Ho: P1 = P2 O D. Ho P1 = P2 H P1

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**Hypothesis Testing on Seat Belt Effectiveness**

A study is conducted to determine the effectiveness of seat belts in reducing fatalities in car crashes. A simple random sample is collected, and the data are as follows:

- Among 2,807 occupants not wearing seat belts, 33 were killed.
- Among 7,718 occupants wearing seat belts, 19 were killed.

The task is to 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 occupants not wearing seat belts and the second sample to be occupants wearing seat belts. Determine the null and alternative hypotheses for this test.

Possible hypotheses are:

- **A.**
  - \( H_0 \): \( p_1 = p_2 \)
  - \( H_1 \): \( p_1 > p_2 \)

- **B.**
  - \( H_0 \): \( p_1 \geq p_2 \)
  - \( H_1 \): \( p_1 < p_2 \)

- **C.**
  - \( H_0 \): \( p_1 \leq p_2 \)
  - \( H_1 \): \( p_1 > p_2 \)

- **D.**
  - \( H_0 \): \( p_1 \geq p_2 \)
  - \( H_1 \): \( p_1 \neq p_2 \)

- **E.**
  - \( H_0 \): \( p_1 \leq p_2 \)
  - \( H_1 \): \( p_1 \neq p_2 \)

- **F.**
  - \( H_0 \): \( p_1 = p_2 \)
  - \( H_1 \): \( p_1 \neq p_2 \)

Select the appropriate hypothesis pair to continue with the test. 

*Note: \( p_1 \) and \( p_2 \) represent the proportions of fatalities in each group (not wearing vs. wearing seat belts).*
Transcribed Image Text:**Hypothesis Testing on Seat Belt Effectiveness** A study is conducted to determine the effectiveness of seat belts in reducing fatalities in car crashes. A simple random sample is collected, and the data are as follows: - Among 2,807 occupants not wearing seat belts, 33 were killed. - Among 7,718 occupants wearing seat belts, 19 were killed. The task is to 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 occupants not wearing seat belts and the second sample to be occupants wearing seat belts. Determine the null and alternative hypotheses for this test. Possible hypotheses are: - **A.** - \( H_0 \): \( p_1 = p_2 \) - \( H_1 \): \( p_1 > p_2 \) - **B.** - \( H_0 \): \( p_1 \geq p_2 \) - \( H_1 \): \( p_1 < p_2 \) - **C.** - \( H_0 \): \( p_1 \leq p_2 \) - \( H_1 \): \( p_1 > p_2 \) - **D.** - \( H_0 \): \( p_1 \geq p_2 \) - \( H_1 \): \( p_1 \neq p_2 \) - **E.** - \( H_0 \): \( p_1 \leq p_2 \) - \( H_1 \): \( p_1 \neq p_2 \) - **F.** - \( H_0 \): \( p_1 = p_2 \) - \( H_1 \): \( p_1 \neq p_2 \) Select the appropriate hypothesis pair to continue with the test. *Note: \( p_1 \) and \( p_2 \) represent the proportions of fatalities in each group (not wearing vs. wearing seat belts).*
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