Suppose a hypothesis test will be used to investigate whether the proportion of United States adults who have been a victim of a cybercrime, such as identity theft, is greater than 0.25. Suppose that the hypothesis test is conducted using a significance level of 0.05 and the power of the test is determined for a specific alternative value using the significance level of 0.05. If the significance level of the hypothesis test is changed to 0.01 and the power of the test is computed for the same alternative value using a significance level of 0.01, which of the following best describes the change(s) to the probability of a Type I error and the power of the test? (A) The probability of a Type I error would decrease, and the power of the test would stay the same. (B) The probability of a Type I error would decrease, and the power of the test would increase. (C) The probability of a Type I error would decrease, and the power of the test would decrease. (D) The probability of a Type I error would increase, and the power of the test would increase. (E) The probability of a Type I error would increase, and the power of the test would decrease.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 30PPS
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Suppose a hypothesis test will be used to investigate whether the proportion of United States adults who have been a
victim of a cybercrime, such as identity theft, is greater than 0.25. Suppose that the hypothesis test is conducted
using a significance level of 0.05 and the power of the test is determined for a specific alternative value using the
significance level of 0.05.
If the significance level of the hypothesis test is changed to 0.01 and the power of the test is computed for the same
alternative value using a significance level of 0.01, which of the following best describes the change(s) to the
probability of a Type I error and the power of the test?
(A) The probability of a Type I error would decrease, and the power of the test would stay the same.
(B) The probability of a Type I error would decrease, and the power of the test would increase.
(C) The probability of a Type I error would decrease, and the power of the test would decrease.
(D) The probability of a Type I error would increase, and the power of the test would increase.
(E) The probability of a Type I error would increase, and the power of the test would decrease.
Transcribed Image Text:Suppose a hypothesis test will be used to investigate whether the proportion of United States adults who have been a victim of a cybercrime, such as identity theft, is greater than 0.25. Suppose that the hypothesis test is conducted using a significance level of 0.05 and the power of the test is determined for a specific alternative value using the significance level of 0.05. If the significance level of the hypothesis test is changed to 0.01 and the power of the test is computed for the same alternative value using a significance level of 0.01, which of the following best describes the change(s) to the probability of a Type I error and the power of the test? (A) The probability of a Type I error would decrease, and the power of the test would stay the same. (B) The probability of a Type I error would decrease, and the power of the test would increase. (C) The probability of a Type I error would decrease, and the power of the test would decrease. (D) The probability of a Type I error would increase, and the power of the test would increase. (E) The probability of a Type I error would increase, and the power of the test would decrease.
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