Which of the following is an appropriate description of the significance level of a test? a.The...
Which of the following is an appropriate description of the significance level of a test?
a.The proportion of the time we find a test statistic at least as extreme as the one we found in our study.
b.The proportion of the time we expect that we'll fail to reject null hypotheses when we really should.
c.The proportion of the time we expect the alternative hypothesis to be true.
d.The proportion of the time we expect that we'll reject null hypotheses when we really shouldn't.
e.The proportion of the time we expect the null hypothesis to be true.
Homework Answers
Answer :
d. The proportion of the time we expect that we'll reject null hypotheses when we really shouldn't.
Explanation :
The significance level is the probability of rejecting the null hypothesis when it is true. For example, a significance level of 0.05 indicates a 5% risk of concluding that a difference exists when there is no actual difference. Lower significance levels indicate that you require stronger evidence before you will reject the null hypothesis.
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