Explanation:
When the level of significance (α) is decreased:
Option A is correct because decreasing significance level reduces the probability of rejecting the null hypothesis when it's actually true.
Option B is incorrect - Type I error decreases, not increases Option C is incorrect - The null hypothesis is rejected less frequently Option D is incorrect - Type II error increases, not decreases
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When testing a hypothesis, which of the following statements is correct when the level of significance of the test is decreased?
A
The likelihood of rejecting the null hypothesis when it is true decreases.
B
The likelihood of making a Type I error increases.
C
The null hypothesis is rejected more frequently, even when it is actually false.
D
The likelihood of making a Type II error decreases.
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