How does a one-way ANOVA hypothesis test differ from a two-way ANOVA hypothesis test? Provide an example of your own of an experiment that would use a two-way ANOVA.
There is onlyone factor or independent variable in one way ANOVA whereas in the case of two-way ANOVAthere are two independent variables.
In a one-way ANOVA, theone factor or independent variable analyzed has three or more categorical groups. A two-way ANOVA instead compares multiple groups of two factors.
The two-way ANOVA compares the mean differences between groups that havebeen split on two independent variables (called factors). The primary purpose of atwo-way ANOVA is to understand if there is an interaction between the twoindependent variables on the dependent variable.
Exampe:
Let us suppose that the Human Resources Department of a company desires to know if occupational stress varies according to age and gender.
The variable of interest is therefore occupational stress as measured by a scale.
There are two factors being studied - age and gender
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