Statistics For Management And Economics 9th Edition By Gerald.. Keller – Test Bank

CHAPTER 11 SECTION 1: INTRODUCTION TO HYPOTHESIS TESTING

TRUE/FALSE

1. A null hypothesis is a statement about the value of a population parameter.

ANS: T PTS: 1 REF: SECTION 11.1
NAT: Analytic; Hypothesis Testing

2. An alternative or research hypothesis is an assertion that holds if the null hypothesis is false.

ANS: T PTS: 1 REF: SECTION 11.1
NAT: Analytic; Hypothesis Testing

3. A Type I error is represented by ; it is the probability of rejecting a true null hypothesis.

ANS: T PTS: 1 REF: SECTION 11.1
NAT: Analytic; Hypothesis Testing

4. A Type I error is represented by .

ANS: F PTS: 1 REF: SECTION 11.1
NAT: Analytic; Hypothesis Testing

5. Reducing the probability of a Type I error also reduces the probability of a Type II error.

ANS: F PTS: 1 REF: SECTION 11.1
NAT: Analytic; Hypothesis Testing

6. Increasing the probability of a Type I error will increase the probability of a Type II error.

ANS: F PTS: 1 REF: SECTION 11.1
NAT: Analytic; Hypothesis Testing

7. It is possible to commit a Type I error and a Type II error at the same time.

ANS: F PTS: 1 REF: SECTION 11.1
NAT: Analytic; Hypothesis Testing

8. A Type II error is represented by ; it is the probability of rejecting a true null hypothesis.

ANS: F PTS: 1 REF: SECTION 11.1
NAT: Analytic; Hypothesis Testing

9. In a criminal trial, a Type I error is made when an innocent person is convicted.

ANS: T PTS: 1 REF: SECTION 11.1
NAT: Analytic; Hypothesis Testing

10. The probability of making a Type I error and the level of significance are the same.

ANS: T PTS: 1 REF: SECTION 11.1
NAT: Analytic; Hypothesis Testing

11. In a criminal trial, a Type II error is made when an innocent person is acquitted.

ANS: F PTS: 1 REF: SECTION 11.1
NAT: Analytic; Hypothesis Testing