The Comparison of the Sample Statistic with What Is Believed

question 23

Multiple Choice

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.

---

Definitions:

Type I Error

The mistake of rejecting the null hypothesis when it is actually true, falsely indicating a significant effect or difference.

Type II Error

A Type II error occurs when a statistical test fails to reject a false null hypothesis, mistakenly accepting a false premise.

Quality Control

The process of ensuring the standards and requirements of products or services are met through consistent measurements and testing.

P-Value

A statistical measure indicating the probability of obtaining test results at least as extreme as the ones observed during the test, assuming that the null hypothesis is true.