A firm is studying the effect of work shift and parts supplier on its defect rate (dependent variable is defects per 1000). The resulting ANOVA results are shown below (some information is missing). $$\begin{array} { | l | c | c | c | c | c | }
\hline \text { Source } & \text { Sum of Squares } & \text { df } & \text { Mean Square } & F & P \text {-Value } \
\hline \text { Shift } & 704.07 & 2 & 352.04 & 11.93 & 0.001 \
\hline \text { Supplier } & 19.6 & & 9.8 & 0.33 & 0.72 \
\hline \text { Shift*Supplier } & 430.75 & 4 & 107.69 & 3.65 & 0.014 \
\hline \text { Error } & 1062.05 & 36 & 29.5 & & \
\hline \text { Total } & 2216.47 & 44 & & & \
\hline
\end{array}$$ At ? = 0.01, the interaction effect is:
A)strongly significant.
B)just barely significant.
C)not quite significant.

Question

A firm is studying the effect of work shift and parts supplier on its defect rate (dependent variable is defects per 1000). The resulting ANOVA results are shown below (some information is missing). $$\begin{array} { | l | c | c | c | c | c | } 
\hline \text { Source } & \text { Sum of Squares } & \text { df } & \text { Mean Square } & F & P \text {-Value } \
\hline \text { Shift } & 704.07 & 2 & 352.04 & 11.93 & 0.001 \
\hline \text { Supplier } & 19.6 & & 9.8 & 0.33 & 0.72 \
\hline \text { Shift*Supplier } & 430.75 & 4 & 107.69 & 3.65 & 0.014 \
\hline \text { Error } & 1062.05 & 36 & 29.5 & & \
\hline \text { Total } & 2216.47 & 44 & & & \
\hline
\end{array}$$ At ? = 0.01, the interaction effect is:
A)strongly significant.
B)just barely significant.
C)not quite significant.

Quizplus · Accepted Answer

The Answer of A firm is studying the effect of work shift and parts supplier on its defect rate (dependent variable is defects per 1000). The resulting ANOVA results are shown below (some information is missing). $$\begin{array} { | l | c | c | c | c | c | } 
\hline \text { Source } & \text { Sum of Squares } & \text { df } & \text { Mean Square } & F & P \text {-Value } \
\hline \text { Shift } & 704.07 & 2 & 352.04 & 11.93 & 0.001 \
\hline \text { Supplier } & 19.6 & & 9.8 & 0.33 & 0.72 \
\hline \text { Shift*Supplier } & 430.75 & 4 & 107.69 & 3.65 & 0.014 \
\hline \text { Error } & 1062.05 & 36 & 29.5 & & \
\hline \text { Total } & 2216.47 & 44 & & & \
\hline
\end{array}$$ At ? = 0.01, the interaction effect is:
A)strongly significant.
B)just barely significant.
C)not quite significant.

A Firm Is Studying the Effect of Work Shift and Parts