When doing hypothesis testing we have two ways of making a decision - the critical value method and the p-value method. While both give the same results in terms of determining whether to reject or not reject the null hypothesis, most statistical analysts prefer the p-value method. Describe the two methods and explain why the p-value method might be preferred to the critical value method.© BrainMass Inc. brainmass.com June 3, 2020, 11:41 pm ad1c9bdddf
The critical value method basically sets a criterion on a number scale. If your observed score falls beyond that critical value on your scale of measurement, you reject your null hypothesis.
The p-value method also uses a criterion, but this is based on the area under the curve, or the probability of obtaining a score. If the ...
Describes the critical value and p value method of hypothesis testing and explains the differences and similarities between the two.