Which of the following is not a criterion for making a decision in a hypothesis test?
A
The sample size used in the study
B
The significance level chosen for the test
C
The value of the test statistic compared to the critical value
D
The p-value calculated from the sample data
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1
Understand that in hypothesis testing, decisions are made based on specific criteria related to the test's statistical framework.
Recall the common criteria used to make decisions in hypothesis testing: the significance level \(\alpha\), the test statistic compared to the critical value, and the p-value calculated from the sample data.
Recognize that the significance level \(\alpha\) is a threshold set before the test to control the probability of a Type I error, which is rejecting a true null hypothesis.
Know that the test statistic is calculated from the sample data and compared to a critical value determined by the significance level and the sampling distribution to decide whether to reject the null hypothesis.
Understand that the p-value represents the probability of observing the test statistic or something more extreme under the null hypothesis, and it is compared to \(\alpha\) to make a decision.
Identify that the sample size, while important for the power and accuracy of the test, is not a direct criterion used to make the decision in hypothesis testing.