In: Statistics and Probability
A simple random sample of front-seat occupants involved in car
crashes is obtained. Among 2946 occupants not wearing seat belts,
31 were killed. Among 7602 occupants wearing seat belts, 16 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. H0: p1 ≤ p2
H1: p1 ≠ p2
B. H0: p1 ≠ p2
H1: p1 = p2
C. H0: p1 ≥ p2
H1: p1 ≠ p2
D. H0: p1 = p2
H1: p1 > p2
E. H0: p1 = p2
H1: p1 < p2
F. H0: p1 = p2
H1: p1 ≠ p2
Identify the test statistic.
z = _________
(Round to two decimal places as needed.)
Identify the P-value.
P-value = _________
(Round to three decimal places as needed.)
What is the conclusion based on the hypothesis test
The P-value is (1) _________ the significance level of α = 0.01, so (2) _________ the null hypothesis. There (3) _________ sufficient evidence to support the claim that the fatality rate is higher for those not wearing seat belts.