NO.PZ2021062201000017
问题如下:
The following table shows the significance level (α) and the p-value for two hypothesis tests.
In which test should we reject the null hypothesis?
选项:
A.Test 1 only
B.Test 2 only
C.Both Test 1 and Test 2
解释:
B is correct. The p-value is the smallest level of significance (α) at which the null hypothesis can be rejected. If the p-value is less than α, the null is rejected.
In Test 1, the p-value exceeds the level of significance, whereas in Test 2, the p-value is less than the level of significance.
p-value是可以拒绝原假设的最小显着性水平 (α)。
Test 1, p-value大于显著性水平;而在Test 2, p-value小于显著性水平,所以拒绝原假设。
P-value是计算出来的吗?这个作用是什么?在假设检验中,需要的是求出test-statistic 和显著性水平相比较,感觉不需要知道p-value,不知道p值从哪里冒出来?每个假设检验都有p值吗