Nancy 王悦 · 2020年04月10日
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.
是在不明白几个选项的意思NO.PZ2018062016000130 问题如下 Whiof the following statements on the power of a test is most correct? 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 ha negative effewith the sample size. B is correct. The power of a hypothesis test is the probability of not making a Type II error anit ha positive effewith the sample size. 在哪个视频中呢 没听到呢
NO.PZ2018062016000130问题如下Whiof the following statements on the power of a test is most correct?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 ha negative effewith the sample size.B is correct. The power of a hypothesis test is the probability of not making a Type II error anit ha positive effewith the sample size.请问c如何理解呀
NO.PZ2018062016000130 表格中的significanlevel = P 和 power of test =1-P, 这两个P不是同一个数据吧？ Type I error =P1, Type II error= P2 是这么理解吗？
The power of a test is the probability of not making a Type II error. The power of a test ha negative effewith the sample size. B is correct. The power of a hypothesis test is the probability of not making a Type II error anit ha positive effewith the sample size.C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
