How is the rejection region defined, and how is that related to the p value? When do you reject or fail to reject the null hypothesis? Why do you think statisticians are asked to complete hypothesis testing? Can you think of examples in courts, in medicine, or in your area?

Solution:

According to Farber and Larson (2015), the range of values for which the null hypothesis is not probable of a sampling distribution is a rejection region. The null hypothesis is a result of no substantial variances among the specific population due to sampling error. Basically, the rejection region is the area of probability that shows if the hypothesis of an experiment is true. One of two ways to test a hypothesis by using the P-value method. The p-value or probability value, reveals if the hypothesis is probably true or false. When comparing the P-value against the significance level, if the P-value is equal to or less than the significance level the null hypothesis can be rejected because there is sufficient evidence to support the……Please click the Paypal icon below to purchase full solution for only $5