FPGEE for National Association of Boards of Pharmacy (NABP) Practice Exam 2026 - Free NABP Practice Questions and Study Guide

The primary use of a t-test is to evaluate the difference between two means. This statistical method is commonly utilized when researchers want to determine if the means of two groups are significantly different from each other. The t-test provides a quantitative measure to assess whether any observed differences are likely due to random chance or if they indicate a true difference in populations being compared.

This test is essential in various fields such as medicine, psychology, and social sciences for hypothesis testing. For instance, if you were to conduct a study comparing the effectiveness of two different medications, a t-test would allow you to statistically validate whether one medication yields better outcomes than the other based on the sample means obtained from groups of patients.

In contrast to this, comparing multiple groups’ means is typically handled by tests like ANOVA, assessing correlation between variables requires different statistical methods such as Pearson or Spearman correlation coefficients, and evaluating variance across measurements may involve using the F-test or other approaches focused on variance analysis.