Question

The critical value for a hypothesis test​ _______.

A. represents the number of standard deviations between the sample mean and the population mean according to the null hypothesis
B. represents the number of standard deviations between the sample mean and the population mean according to the alternative hypothesis
C. is based on the significance level and determines the boundary for the rejection region
D. determines the observed level of significance

Answer 1

Answer:

Option C) Critical value is based on the significance level and determines the boundary for the rejection region

Step-by-step explanation:

Critical Value:

• In hypothesis testing, a critical value is a point that is compared to the test statistic
• It is used to determine whether to reject the null hypothesis or accept the null hypothesis.
• If the absolute value of your test statistic is greater than the critical value,we fail to accept the null hypothesis and reject it.
• Critical value is affected by the significance level of the testing.
• It is the value that a test statistic must exceed in order for the the null hypothesis to be rejected.

Thus, option C) is the correct interpretation of critical values.

Option C) Critical value is based on the significance level and determines the boundary for the rejection region