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Study more! The significance test in Exercise 76yields a P-value of 0.0622.

(a) Describe a Type I and a Type II error in this setting. Which type of error could you have made in Exercise 76? Why?

(b) Which of the following changes would give the test a higher power to detect μ=120minutes: using α=0.01or α=0.10? Explain.

Short Answer

Expert verified

a. Type II error since we failed to reject H0.

b. both α=0.01andα=0.1give the higher power.

Step by step solution

01

Given information

The significance test in Exercise 76yields a P-value of 0.0622.

02

Explanation (part a)

Type I error: experts conclude that student study hours has a higher mean yield when it actually doesn’t.

Type II error: experts conclude that there is a mean difference in yields when, in fact,

student study hours has a higher mean yield.

Type II error since we failed to reject H0.

03

Explanation (part b)

z(s) test statistics is:

z(s)=(x-μ)/s/nz(s)=-30/8.22z(s)=-3.65

p-value for that z(s) p-value=0

Then for α=0.01or0.1;p-value<0.01or0.1

We are in the rejection region we need to reject H. Therefore, both localid="1650893185130" α=0.01andα=0.1give the higher power.

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Most popular questions from this chapter

A software company is trying to decide whether to produce an upgrade of one of its programs. Customers would have to pay \(100for the upgrade. For the upgrade to be profitable, the company needs to sell it to more than 20%of their customers. You contact a random sample of 60customers and find that 16 would be willing to pay \)100for the upgrade.

(a) Do the sample data give good evidence that more than 20%of the company’s customers are willing to purchase the upgrade? Carry out an appropriate test at the A=0.05significance level.

(b) Which would be a more serious mistake in this setting—a Type I error or a Type II error? Justify your answer.

(c) Other than increasing the sample size, describe one way to increase the power of the test in (a).

Improving 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 50employees 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 50employees is -6and the standard deviation is 19.8.

(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 α=0.05significance level.

(b) Can we conclude that the health campaign caused a decrease in blood pressure? Why or why not?

Which type of error is more serious in this case? Justify your answer?

(a) State hypotheses for a significance test to determine whether first responders are arriving within 8 minutes of the call more often. Be sure to define the parameter of interest.

(b) Describe a Type I error and a Type II error in this setting and explain the consequences of each.

(c) Which is more serious in this setting: a Type I error or a Type II error? Justify your answer.

(d) If you sustain a life-threatening injury due to a vehicle accident, you want to receive medical treatment as quickly as possible. Which of the two significance tests—H0:μ=6.7versusHa:μ<6.7 or the one from part (a) of this exercise—would you be

more interested in? Justify your answer.

A change is made that should improve student satisfaction with the parking situation at a local high school. Right now, 37% of students approve of the parking that’s provided. The null hypothesis H0:p>0.37is tested against the alternativeHa:p=0.37.

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