Which statistical test is used to evaluate the difference in means between two groups?

The T-test is specifically designed to evaluate whether the means of two groups are significantly different from one another. It assumes that the data follows a normal distribution and that the variances of the two groups are equal, making it suitable for comparing the average values of two sets of data.

In contrast, the Chi-square test assesses categorical data to determine if there is a significant association between two variables but does not evaluate means. ANOVA, while capable of comparing means, is used when comparing three or more groups rather than just two. Regression analysis is utilized for understanding the relationship between dependent and independent variables but does not specifically focus on differences in means between groups. Thus, the T-test is the correct choice when the goal is to determine the difference in means between two separate groups.