Here is an ANOVA summary table for a 2-way fixed-effects balanced design. Using =FINV () in...

 

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Here is an ANOVA summary table for a 2-way fixed-effects balanced design. Using =FINV () in Excel, find the critical values for each hypothesis test at both the a = 0.05 and a = 0.01 significance levels. Source SS df MS F F0.05, dfi,df2 F0.01, df, df2 A 3771.3 4 942.825 1.628 B 7133.3 5 1426.66 2.464 A B 21381 20 1069.05 1.846 Error TOTAL 173700 205985.6 300 329 579 Round to four decimal points. Finally, what was the sample size for each cell in this 2-factor design? n = Hint: Add 1 to the total degrees of freedom to compute the overall total number of data values in the table. Next, add 1 to the df for A & B to compute the actual number of groups in each row category (A) & column category (B). Now to compute the sample size simply take the overall total (df+1) divided by the PRODUCT of the number of row and column groups. This will produce "n" or the number of samples in each grouping. Here is an ANOVA summary table for a 2-way fixed-effects balanced design. Using =FINV () in Excel, find the critical values for each hypothesis test at both the a = 0.05 and a = 0.01 significance levels. Source SS df MS F F0.05, dfi,df2 F0.01, df, df2 A 3771.3 4 942.825 1.628 B 7133.3 5 1426.66 2.464 A B 21381 20 1069.05 1.846 Error TOTAL 173700 205985.6 300 329 579 Round to four decimal points. Finally, what was the sample size for each cell in this 2-factor design? n = Hint: Add 1 to the total degrees of freedom to compute the overall total number of data values in the table. Next, add 1 to the df for A & B to compute the actual number of groups in each row category (A) & column category (B). Now to compute the sample size simply take the overall total (df+1) divided by the PRODUCT of the number of row and column groups. This will produce "n" or the number of samples in each grouping.