INBDE (Integrated National Board Dental Examination) Practice Exam

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What is used to test differences between two or more means?

ANOVA
T-test
Chi-squared test
Linear regression

The correct answer is: ANOVA

ANOVA (Analysis of Variance) is used to test differences between two or more means. It is a statistical method that compares means among multiple groups to determine if there are statistically significant differences. ANOVA is specifically designed for comparing means, making it the appropriate choice for this scenario. T-test is used to compare the means of two groups, not more than two groups, so it is not the best option for testing differences between two or more means. Chi-squared test is used to analyze categorical data and test for independence between two variables, not for comparing means, so it is not the correct choice for this question. Linear regression is a method used to model the relationship between a dependent variable and one or more independent variables, not specifically to test differences between means, so it is not the most suitable option in this context.