A two-way ANOVA differs from a one-way ANOVA in that . Group of answer choices
Post hoc comparisons are completed as a part of the initial test
It requires an assumption of normality
It examines possible interaction effects among two independent factors
It examines possible interaction effects among two or more dependent variables
It allows an examination of ordinal data

It examines possible interaction effects among two independent variables

Explanation:

One-way ANOVA only involves one factor or independent variable.

For the two way ANOVA there are two independent variables.

It examines possible interaction effects among two independent factors.

It examines possible interaction effects among two or more dependent variables.

Explanation:

The two-way NOVA depends on different sample points for a hypothesis to be made and proved. The two-way ANOVA compares the number of data points. It compares three or more data groups on the category to establish whether there are any differences that exit between them. It also means that there will be more than three observations. In fact, the exercise is the investigation of the possible effects and interactions of the various variables.

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