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). $$\begin{array} { | l | c | c | c | c | c | }
\hline \text { Source } & \text { Sum of Squares } & \text { df } & \text { Mean Square } & F & \text { P-Value } \
\hline \text { Shift } & 704.07 & 2 & 352.04 & 11.93 & 0.001 \
\hline \text { Supplier } & 19.6 & & 9.8 & 0.33 & 0.720 \
\hline \text { Shift*Supplier } & 430.75 & 4 & 107.69 & 3.65 & 0.014 \
\hline \text { Error } & 1062.05 & 36 & 29.5 & & \
\hline \text { Total } & 2216.47 & 44 & & & \
\hline
\end{array}$$ At ? = 0.01, the effect of supplier is:
A)clearly significant.
B)just barely significant.
C)almost but not quite significant.
D)clearly insignificant.

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). $$\begin{array} { | l | c | c | c | c | c | } 
\hline \text { Source } & \text { Sum of Squares } & \text { df } & \text { Mean Square } & F & \text { P-Value } \
\hline \text { Shift } & 704.07 & 2 & 352.04 & 11.93 & 0.001 \
\hline \text { Supplier } & 19.6 & & 9.8 & 0.33 & 0.720 \
\hline \text { Shift*Supplier } & 430.75 & 4 & 107.69 & 3.65 & 0.014 \
\hline \text { Error } & 1062.05 & 36 & 29.5 & & \
\hline \text { Total } & 2216.47 & 44 & & & \
\hline
\end{array}$$ At ? = 0.01, the effect of supplier is:
A)clearly significant.
B)just barely significant.
C)almost but not quite significant.
D)clearly insignificant.

Quizplus · Accepted Answer

The p-value for the effect of supplier is 0.72, which is much larger than the level of significance α = 0.01. Therefore, we can conclude that the effect of supplier is clearly insignificant.

A Firm Is Studying the Effect of Work Shift and Parts