Chapter 9: Q.8 (page 598)
In a test of against , a random sample of size yields a test statistic of . The P-value of the test is approximately equal to
(a) .
(b) .
(c) .
(d) .
(e) .
Short Answer
The correct answer is (d) 0.20.
Chapter 9: Q.8 (page 598)
In a test of against , a random sample of size yields a test statistic of . The P-value of the test is approximately equal to
(a) .
(b) .
(c) .
(d) .
(e) .
The correct answer is (d) 0.20.
All the tools & learning materials you need for study success - in one app.
Get started for freeImproving health A large company's medical director launches a health promotion campaign to encourage employees to exercise more and eat better foods. One measure of the effectiveness of such a program is a drop in blood pressure. The director chooses a random sample of employees and compares their blood pressures from physical cams given before the campaign and again a year later. The mean change (after - before) in systolic blood pressure for these employees is and the standard deviation is .
(a) Do these data provide convincing evidence of an average decrease in blood pressure among all of the company's employees during this year? Carry out a test at the significance level.
(b) Can we conclude that the health campaign caused a decrease in blood pressure? Why or why not?
For the job satisfaction study described in Section 9.1, the hypotheses are
where is the mean difference in job satisfaction scores (self-paced - machine-paced) in the population of assembly-line workers at the company? Data from a random sample of workers gave and
Use Table B to find the P-value. What conclusion would you draw?
Flu vaccine A drug company has developed a new vaccine for preventing the flu. The company claims that fewer than of adults who use its vaccine will get the flu. To test the claim, researchers give the vaccine to a random sample of adults. Of these, get the flu.
(a) Do these data provide convincing evidence to support the company's claim? Perform an appropriate test to support your answer.
(b) Which kind of mistake - a Type I error or a Type II error-could you have made in (a)? Explain.
(c) From the company's point of view, would a Type I error or Type Il error be more serious? Why?
Refer to Exercise 1. In Simon’s SRS, 16 of the students were left-handed. A significance test yields a P-value of 0.2184.
(a) Interpret this result in context.
(b) Do the data provide convincing evidence against the null hypothesis? Explain.
Asked to explain the meaning of “statistically significant at the A 0.05 level,” a
student says, “This means that the probability that the null hypothesis is true is less than 0.05.” Is this explanation correct? Why or why not?
What do you think about this solution?
We value your feedback to improve our textbook solutions.