# Two-Way ANOVA

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## Definition of 'Two-Way ANOVA'

Two-way ANOVA is a statistical test that is used to compare the means of two or more groups. It is a type of ANOVA, which stands for analysis of variance. ANOVA is a statistical test that is used to compare the means of two or more groups. It is a type of ANOVA, which stands for analysis of variance.

Two-way ANOVA is used to compare the means of two or more groups when there is one independent variable with two or more levels and one dependent variable. The independent variable is the variable that is being manipulated, and the dependent variable is the variable that is being measured.

For example, you could use two-way ANOVA to compare the mean test scores of students who are taught by different teachers. The independent variable would be the teacher, and the dependent variable would be the test score.

Two-way ANOVA can also be used to compare the means of two or more groups when there are two independent variables with two or more levels each. For example, you could use two-way ANOVA to compare the mean test scores of students who are taught by different teachers and who are in different grades. The independent variables would be the teacher and the grade, and the dependent variable would be the test score.

Two-way ANOVA is a powerful statistical test that can be used to compare the means of two or more groups. It is a versatile test that can be used in a variety of settings.

Two-way ANOVA is used to compare the means of two or more groups when there is one independent variable with two or more levels and one dependent variable. The independent variable is the variable that is being manipulated, and the dependent variable is the variable that is being measured.

For example, you could use two-way ANOVA to compare the mean test scores of students who are taught by different teachers. The independent variable would be the teacher, and the dependent variable would be the test score.

Two-way ANOVA can also be used to compare the means of two or more groups when there are two independent variables with two or more levels each. For example, you could use two-way ANOVA to compare the mean test scores of students who are taught by different teachers and who are in different grades. The independent variables would be the teacher and the grade, and the dependent variable would be the test score.

Two-way ANOVA is a powerful statistical test that can be used to compare the means of two or more groups. It is a versatile test that can be used in a variety of settings.

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