Significance Level In Hypothesis Testing: Importance And Implications In Math

T/F: A smaller significance level requires stronger evidence to reject the null hypothesis.

1

True.

The significance level, also known as alpha level, is the probability of rejecting the null hypothesis when it is actually true. A smaller significance level means that we will only reject the null hypothesis if the evidence against it is very strong. On the other hand, a larger significance level means that we may reject the null hypothesis even if the evidence against it is not very strong. Therefore, a smaller significance level requires stronger evidence to reject the null hypothesis.

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