Introduction to Analysis of Variance (ANOVA)

The t-tests are constrained to calculate differences between two groups. If we want to do more, such as if our dataset includes more than one group to compare or more than one independent variable, we would want to use a different test. A good test to run is ANOVA (Analysis of Variance). ANOVA is used to determine which independent variables have the most influence on the variance, as shown in the dependent variables, as well as the sources of variation in the dependent variable. There are several types of ANOVAs that can be used in different circumstances. For example, there's a one-way ANOVA used when we have one independent variable, while a factorial ANOVA can be used when we have more than one independent variable.