If an analysis of variance is used for the following data,what would be the effect of changing the value of SS₁ to 50?? $$\begin{array} { l l } \text { Sample Data}\ \mathrm { M } _ { 1 } = 10 & \mathrm { M } _ { 2 } = 15 \ \mathrm { SS } _ { 1 } = 90 & \mathrm { SS } _ { 2 } = 70 \ \hline \end{array}$$ ? A)Increase SS_within and increase the size of the F-ratio.? B)?Increase SS_within and decrease the size of the F-ratio. C)?Decrease SS_within and increase the size of the F-ratio. D)?Decrease SS_within and decrease the size of the F-ratio.

Question

Quizplus · Accepted Answer

Changing the value of SS (Sum of Squares) within to 50 would decrease the within-group variability. A decrease in within-group variability (SS within) would lead to an increase in the size of the F-ratio, as the F-ratio is calculated by dividing the between-group variance by the within-group variance. Lower within-group variance increases the F-ratio, indicating a greater likelihood of significant differences between group means.

If an Analysis of Variance Is Used for the Following