The comparison of the sample statistic with what is believed to be the population value prior to undertaking the study is called:
A)Hypothesis testing.
B)Parameter testing.
C)Inference testing.
D)Population testing.

Question

Quizplus · Accepted Answer

Hypothesis testing is a statistical method that involves comparing the results of a sample with what is believed to be the population value prior to the study. It involves making assumptions about the population and then testing whether the data from the sample supports or contradicts these assumptions. Hypothesis testing is used to make inferences about the population and to draw conclusions from the sample data that can be applied to the larger population. The two types of hypotheses used in hypothesis testing are the null hypothesis and the alternative hypothesis. The null hypothesis states that there is no significant difference between the sample statistic and the population value, while the alternative hypothesis states that there is a significant difference. By comparing the sample statistic to the population value and calculating the probability of obtaining these results by chance, researchers can determine whether to reject or accept the null hypothesis.

The Comparison of the Sample Statistic with What Is Believed