An insurance company collects data on seat-belt use among drivers in a country. Of 1000 drivers 20-29 years old, 18% said that they buckle up, whereas 377 of 1300 drivers 45-64 years old said that they did. At the 5% significance level, do the data suggest that there is a difference in seat-belt use between drivers 20-29 years old and those 45-64?
Let population 1 be drivers of age 20-29 and let population 2 be drivers of age 45-64.
Use the two-proportions z-test to conduct the required hypothesis test. What are the hypotheses for this test?
A.
H0: p1≠p2, Ha: p1=p2
B.
H0: p1>p2, Ha: p1=p2
C.
H0: p1=p2, Ha: p1<p2
D.
H0: p1=p2, Ha: p1≠p2
E.
H0: p1<p2, Ha: p1=p2
F.
H0: p1=p2, Ha: p1>p2
Calculate the test statistic.
z= ____
p=____
Which of the following is the correct conclusion for the hypothesis test?
A.
At the 5% significance level, reject H0; the data do not provide sufficient evidence to accept Ha.
B.
At the 5% significance level, do not reject H0; the data provide sufficient evidence to accept Ha.
C.
At the 5% significance level, do not reject H0; the data do not provide sufficient evidence to accept Ha.
D.
At the 5% significance level, reject H0; the data provide sufficient evidence to accept Ha.
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