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(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=120 minutes: using α=0.01 or α=0.10? Explain.

Short Answer

Expert verified

a. Type II error has been made

b. α=0.10would give the test a higher power

Step by step solution

01

Introduction

Type-I error: Rejecting the genuine invalid hypothesis or it is otherwise called misleading positive.

Type-II error: Non-rejection of a misleading invalid hypothesis or it is otherwise called bogus negative.

02

Explanation Part (a)

Type I error - Concluding that the first-year students at the university concentrate under 2.5hours of the night during the school week when they really review 2.5hours of the night during the school week.

Type-II error- Concluding that the first-year students at the university review 2.5hours of the night during the school week when they really concentrate under 2.5hours out of every night during the school week.

From the above information, a Type II error has been made.

03

Explanation Part (b)

α=0.10 would give the test a higher power as increasing the significance level maximises the power of the test.

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Most popular questions from this chapter

In planning a study of the birth weights of babies whose mothers did not see a doctor

before delivery, a researcher states the hypotheses as

H0:x¯=1000gramsHa:x¯<1000grams

Cash to find work? (5.2) Will cash bonuses speed the return to work of unemployed people? The Illinois Department of Employment Security designed an experiment to find out. The subjects were 10,065 people aged 20 to 54 who were filing claims for

unemployment insurance. Some were offered \(500 if they found a job within 11 weeks and held it for at least 4 months. Others could tell potential employers that the state would pay the employer \)500 for hiring them. A control group got neither kind of bonus.

(a) Describe a completely randomized design for this experiment.

(b) How will you label the subjects for random assignment? Use Table D at line 127 to choose the first 3 subjects for the first treatment.

(c) Explain the purpose of a control group in this setting.

A 95%confidence interval for a population mean is calculated to be (1.7,3.5). Assume that the conditions for performing inference are met. What conclusion can we draw for a test of role="math" localid="1650275427722" H0:μ=2versus Ha:μ2at the A=0.05level based on the confidence interval?

(a) None. We cannot carry out the test without the original data.

(b) None. We cannot draw a conclusion at the A=0.05level since this test is connected to the 97.5%confidence interval.

(c) None. Confidence intervals and significance tests are unrelated procedures.

(d) We would reject H0at level A=0.05.

(e) We would fail to reject H0at level A=0.05.

The most important condition for sound conclusions from statistical inference is that

(a) the data come from a well-designed random sample or randomized experiment

(b) the population distribution be exactly Normal.

(c) the data contain no outliers.

(d) the sample size be no more than 10%of the population size.

(c) the sample size be at least 30.

Which of the following 95% confidence intervals would lead us to reject H0:p=0.30in favor of Ha:p0.30at the 5% significance level?

(a) (0.29, 0.38) (c) (0.27, 0.31) (e) None of these

(b) (0.19, 0.27) (d) (0.24, 0.30)

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