Analysis of Variance (ANOVA) is a statistical method used to test for differences in the means of two or more groups of data. It is a powerful tool in experimental research where it is used to determine if there is a significant difference in the means of different groups, which may be caused by a treatment or other factors. The ANOVA test compares the variance between groups to the variance within groups. If the variance between groups is significantly larger than the variance within groups, then it can be concluded that there is a significant difference between the means of the groups.
There are different types of ANOVA tests, including one-way ANOVA, two-way ANOVA, and repeated measures ANOVA. One-way ANOVA is used to compare the means of two or more groups that are independent of each other. Two-way ANOVA is used when there are two independent variables, such as gender and age, that affect the means of different groups. Repeated measures ANOVA is used when the same group of individuals is measured multiple times. ANOVA is a widely used statistical technique in different fields such as psychology, social sciences, biology, medicine, and engineering to name a few, to analyze experimental data and compare the means of different groups.
What is Analysis of Variance with example?
How do you calculate Analysis of Variance?
What are the different types of ANOVA tests?
How do I interpret the results of an ANOVA test?