In: Statistics and Probability
The manufacturer of a new racecar engine claims that the proportion of engine failures due to overheating for this new engine, (p1), will be no higher than the proportion of engine failures due to overheating of the old engines, (p2). To test this statement, NASCAR took a random sample of 155 of the new racecar engines and 115 of the old engines. They found that 18 of the new racecar engines and 7 of the old engines failed due to overheating during the test. Does NASCAR have enough evidence to reject the manufacturer's claim about the new racecar engine? Use a significance level of α=0.05
for the test.
Step 1 of 6:
State the null and alternative hypotheses for the test.
Step 2 of 6:
Find the values of the two sample proportions, pˆ1
and pˆ2
. Round your answers to three decimal places.
Step 3 of 6:
Compute the weighted estimate of p, p‾
. Round your answer to three decimal places.
Step 4 of 6:
Compute the value of the test statistic. Round your answer to
two decimal places.
Step 5 of 6:
Find the P-value for the hypothesis test. Round your answer to
four decimal places.
Step 6 of 6:
Make the decision to reject or fail to reject the null hypothesis.