A simple random sample of​ front-seat occupants involved in car crashes is obtained. Among 2795occupants not wearing seat​ belts, 36 were killed. Among 7682 occupants wearing seat​ belts, 15 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​: p1p2 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 ▼ greater than less than the significance level of α=0.01​, so ▼ reject fail to reject the null hypothesis. There ▼ is not is sufficient evidence to support the claim that the fatality rate is higher for those not wearing seat belts.

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A simple random sample of​ front-seat occupants involved in car crashes is obtained. Among 2795occupants not wearing seat​ belts, 36 were killed. Among 7682 occupants wearing seat​ belts, 15 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
 
greater than
less than
the significance level of
α=0.01​,
so
 
reject
fail to reject
the null hypothesis. There
 
is not
is
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< ?
​(Round to three decimal places as​ needed.)
What is the conclusion based on the confidence​ interval?
 
Because the confidence interval limits
 
include
do not include
​0, it appears that the two fatality rates are
 
not equal.
equal.
Because the confidence interval limits include
 
positive and negative
only positive
only negative
​values, it appears that the fatality rate is
 
higher
lower
the same
for those not wearing seat belts.
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