Explain the major differences between analyzing a one-way ANOVA versus a two-fac

Question

Explain the major differences between analyzing a one-way ANOVA versus a two-factor ANOVA, and explain why factorial designs with two or more independent variables (or factors) can become very difficult to interpret.
Explain the major differences between analyzing a one-way ANOVA versus a two-factor ANOVA, and explain why factorial designs with two or more independent variables (or factors) can become very difficult to interpret.
Explain the major differences between analyzing a one-way ANOVA versus a two-factor ANOVA, and explain why factorial designs with two or more independent variables (or factors) can become very difficult to interpret.

Explanation / Answer

Difference between One way Anova and Two way Anova :

Independent Variable One Two

Compares Three or more levels of one factor. Effect of multiple level of two factors.

Number of Observation Need not to be same in each group. Need to be equal in each group.

Design of experiments Need to satisfy only two principles. All three principles needs to be satisfied.

The differences between one way and two way ANOVA can be drawn clearly on the following grounds:

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