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mitmit · 2020年02月28日

问一道题：NO.PZ2018062016000130

  1. CFA I
  2. Quantitative

问题如下：

Which of the following statements on the power of a test is most correct?

选项：

A.

The power of a test is the probability of making a Type I error.

B.

The power of a test is the probability of not making a Type II error.

C.

The power of a test has a negative effect with the sample size.

解释：

B is correct. The power of a hypothesis test is the probability of not making a Type II error and it has a positive effect with the sample size.

讲义里P value里没有关于power of test吧。。。已经出现两道相关的题目了。。。。

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1 个答案

星星_品职助教 · 2020年02月28日

同学你好，

Power of test是跟第二类错误相关的考点。和P-value是独立的，但都属于假设检验下的内容

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