Which of the following statements is TRUE? 0.01 means there is a 1% chance that we fail to reject the null hypothesis when the alternative hypothesis is true. - If an effect is substantively significant, then it must also be statistically significant. We reject the null hypothesis when p-value is larger than the significance level. If we want to reduce the probability of a Type II error, the probability of a Type I error will increase.

College Algebra
7th Edition
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter9: Counting And Probability
Section9.3: Binomial Probability
Problem 2E: If a binomial experiment has probability p success, then the probability of failure is...
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Which of the following statements is TRUE?
0.01 means there is a 1% chance that we fail to reject the
null hypothesis when the alternative hypothesis is true.
-
If an effect is substantively significant, then it must also be
statistically significant.
We reject the null hypothesis when p-value is larger than the
significance level.
If we want to reduce the probability of a Type II error, the
||
probability of a Type I error will increase.
Transcribed Image Text:Which of the following statements is TRUE? 0.01 means there is a 1% chance that we fail to reject the null hypothesis when the alternative hypothesis is true. - If an effect is substantively significant, then it must also be statistically significant. We reject the null hypothesis when p-value is larger than the significance level. If we want to reduce the probability of a Type II error, the || probability of a Type I error will increase.
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