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Summary Table

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Factorial ANOVA requires that we obtain many different estimates before we are ready to test our hypotheses. We place these estimates into a summary table in order to better view the effects of interest. Let's complete our calculations and place our results into a summary table.

Our next step is to compare the sample values of our F ratios to the critical values obtained for our chosen alpha level and degrees of freedom.

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