Respuesta :
Answer:
Critical Values and Rejection region
Step-by-step explanation:
Critical Values and Rejection region
- In hypothesis testing, a critical value is a point on the test distribution that is compared to the test statistic to determine whether to reject the null hypothesis.
- If the absolute value of the test statistic is greater than the critical value, we fail to accept the null hypothesis and reject the null hypothesis.
- Critical values depend on the significance level.
- Thus, we may define the rejection region as the region for rejection of null hypothesis and define the region greater than the critical value for a right tailed test and smaller for a left tailed test.
