4) Among the statements below, which one is not correct in the statistical inference for one population mean? O Increasing the significance level a increases the power of the statistical test. A Type I error is made when the null hypothesis is rejected while it is true. The rejection of the null hypothesis means that the null hypothesis is false. The risk of making a Type II error decreases when the sample size increases.

College Algebra (MindTap Course List)
12th Edition
ISBN:9781305652231
Author:R. David Gustafson, Jeff Hughes
Publisher:R. David Gustafson, Jeff Hughes
Chapter8: Sequences, Series, And Probability
Section8.7: Probability
Problem 58E: What is meant by the sample space of an experiment?
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4)
Among the statements below, which one is not correct in the statistical inference for one population
mean?
Increasing the significance level a increases the power of the statistical test.
A Type I error is made when the null hypothesis is rejected while it is true.
The rejection of the null hypothesis means that the null hypothesis is false.
The risk of making a Type II error decreases when the sample size increases.
Transcribed Image Text:4) Among the statements below, which one is not correct in the statistical inference for one population mean? Increasing the significance level a increases the power of the statistical test. A Type I error is made when the null hypothesis is rejected while it is true. The rejection of the null hypothesis means that the null hypothesis is false. The risk of making a Type II error decreases when the sample size increases.
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