问题如下：
All else equal, is increasing the sample size for a hypothesis test likely to decrease the probability of a:
选项：
Type I error?
Type II error?
No
Yes
Yes
No
Yes
Yes
解释：
C is correct.
The only way to avoid the trade-off between the two types of errors is to increase the sample size; increasing sample size (all else equal) reduces the probability of both types of errors. From the reading on sampling and estimations, all else equal, a larger sample size will decrease both the standard error and the width of the confidence interval. In other words, the precision of the estimate of the population parameter is increased.
这样理解为什么不对：sample size 变大，置信区间（confidence interval）变窄，所以拒绝域（significance level）变大，type i error 变大。想问你下这个推断哪里错了？
