NO.PZ2018062001000014
问题如下:
All else equal, a larger significant level indicates:
选项:
A.
A higher probability of type I error and type II error.
B.
A higher probability of type I error and lower probability of type II error.
C.
A lower probability of type I error and higher probability of type II error.
解释:
B is correct.
The significant level of a test is the probability of a Type I error. Therefore a larger significant level means a higher probability of Type I error.
Type II error occurs when we fail to reject a false null hypothesis. It will be smaller if significant level of a test is larger, all else equal.
我们越容易去拒绝原假设,也就意味着我们越不容易去接受一个错误的原假设。这句话怎么理解啊,可以举一个例子吗?