A hypothesis test of a proportion is conceptually similar to hypothesis testing when the mean is the characteristic of interest.

Question

Quizplus · Accepted Answer

Both types of hypothesis testing involve assessing whether an observed sample statistic is likely to have occurred by chance or whether it represents a statistically significant departure from some null hypothesis value. In proportion hypothesis testing, the parameter of interest is a proportion or percentage of a population, while in mean hypothesis testing, the parameter of interest is the average value of a numerical variable in a population. However, the general principles of null and alternative hypotheses, test statistics, significance levels, p-values, and type I and type II error rates are the same for both.

A Hypothesis Test of a Proportion Is Conceptually Similar to Hypothesis