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Nancy 王悦 · 2020年04月10日

问一道题：NO.PZ2018062016000130 [ CFA I ]

  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.

C选项是什么意思？怎么理解？我理解的是当样本规模增大，出现1.2的错误会降低，所以negative effect是对的
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1 个答案

星星_品职助教 · 2020年04月10日

同学你好，

C选项的考点理解的是正确的，降低的是I，II类错误的概率，而不是power of test的概率。正确的说法应该是类似Type I/ Type II error has a negative effect with the sample size”

 

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