A simple random sample of front-seat occupants involved in car crashes is obtained. Among 2997 occupants not wearing seat belts, 29 were killed. Among 7657 occupants wearing seat belts, 13 were killed. Use a 0.050 significance level to test the claim that seat belts are effective in reducing fatalities.
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?
b. Identify the test statistic.
Z=
c. Identify the P-value.
P-vale=
d. Test the claim by constructing an appropriate confidence interval.
The appropriate confidence interval is ___< (p1 - p2) <____
Ans:
a)
H0:p1<=p2
Ha:p1>p_2
b)
sample proportion for p1=29/2997=0.009676
sample proportion for p1=13/7657=0.001698
pooled proportion=(29+13)/(2997+7657)=0.0003942
Test statistic:
z=(0.009676-0.001698)/SQRT(0.003942*(1-0.003942)*((1/2997)+(1/7657)))
z=5.91
c)
p-value=P(z>5.91)=0.0000
d)
95% confidence interval for difference in proportions
=(0.009676-0.001698)+/-1.96*sqrt((0.009676*(1-0.009676)/2997)/2997)+(0.001698*(1-0.001698)/7657))
=0.0080+/-0.0036
=(0.0044, 0.0116)
confidence interval is 0.0044< (p1 - p2) <0.0116
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