Data Set 12-7: $$\begin{array} { c c c c c }
\text { Subjects } & X _ { 1 } & X _ { 2 } & X _ { 3 } & \Sigma \
\hline 1 & 2 & 3 & 7 & 12 \
2 & 3 & 5 & 6 & 14 \
\hline \Sigma & 5 & 8 & 13 & 26
\end{array}$$
-In Data Set 12-7, SS treat is equal to
A) 0.67
B) 16.33
C) 124.67

Question

Data Set 12-7: $$\begin{array} { c c c c c } 
\text { Subjects } & X _ { 1 } & X _ { 2 } & X _ { 3 } & \Sigma \
\hline 1 & 2 & 3 & 7 & 12 \
2 & 3 & 5 & 6 & 14 \
\hline \Sigma & 5 & 8 & 13 & 26
\end{array}$$
-In Data Set 12-7, SS treat is equal to
A) 0.67
B) 16.33
C) 124.67

Quizplus · Accepted Answer

The treatment sum of squares (SSS1U1B1) can be calculated using the formula $\frac{\Sigma(\Sigma X_{i.})^2}{n} - \frac{(\Sigma X)^2}{N}$, where $X_{i.}$ is the sum of scores for each level of the treatment, $n$ is the number of scores in each treatment level, and $N$ is the total number of scores. For this data set, with $n=2$ for each treatment and $N=6$, the calculation is $\frac{(12^2 + 14^2)}{2} - \frac{26^2}{6}$ which equals 16.33.

Data Set 12-7 -In Data Set 12-7, SStreat Is Equal to A) 0

Data Set 12-7 -In Data Set 12-7, SS_treat Is Equal to
A) 0