182****7266回答（2）
Crystal2022-05-15 16:50:34
CrystalA
Type II error refers to the failure to reject the H1 when it is actually false.
B
Hypothesis testing is used to make inferences about the parameters of a given population on the basis of statistics computed for a sample that is drawn from another population.
C
All else being equal, the decrease in the chance of making a Type I error comes at the cost of increasing the probability of making a Type II error.
D
If the p-value is greater than the significance level, then the statistics falls into the reject intervals.
A选项错误，是因为二类错误表述的是没有拒绝错误的H0，不是H1
B选项错误，是因为another population，应该是same population
C选项正确，一类和二类错误此消彼长
D选项作物，p-value越小越拒绝
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每个选项能解释一下都什么意思嘛
姚奕2022-05-19 11:07:10
姚奕A Type II error refers to the failure to reject the H1 when it is actually false.
解释：什么是Type II error？受伪的错误，所以是明明原假设是错的，却没有拒绝它。请注意是原假设H0，而不是H1. 所以A就错在这地方。
B Hypothesis testing is used to make inferences about the parameters of a given population on the basis of statistics computed for a sample that is drawn from another population.
解释：假设检验就是要对某一个总体的一个假设做出正确与否的判断，那么当然要从这个总体中去抽样，才能代表该总体的参数情况，怎么可能从another population去抽样呢？那是驴唇不对马嘴了。
C All else being equal, the decrease in the chance of making a Type I error comes at the cost of increasing the probability of making a Type II error.
解释：Type I error——拒真；Type II error——受伪，直观理解，严打期间会把坏人一网打尽，但也可能冤枉很多好人；一旦放松了，不冤枉好人了，坏人又往往会被漏网，两者不可兼得。
D If the p-value is greater than the significance level, then the statistics falls into the reject intervals.
解释：永远记住一句话（死死地背下来）：Pvalue是能够拒绝原假设的最小置信水平，最小！最小！最小！所以，只要任何significance level比Pvalue大，就能拒绝。你再看D选项，能理解了吗？
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