Here is an Excel ANOVA table for an experiment that analyzed two factors that may affect patients' blood pressure (some information is missing). $$\begin{array} { | l | c | c | c | c | c | }
\hline \text { Source of Variation } & \text { SS } & d f & \text { MS } & F & \text { P-value } \
\hline \text { Medication type } & 16.5313 & 1 & 16.5313 & 9.173 & 0.006 \
\hline \text { Patient age group } & 25.0938 & & 8.3646 & 4.642 & 0.011 \
\hline \text { Interaction } & 1.8438 & 3 & 0.6146 & 0.341 & 0.796 \
\hline \text { Error } & 43.2504 & 24 & 1.8021 & & \
\hline & & & & & \
\hline \text { Total } & 86.7192 & & & & \
\hline
\end{array}$$ At ? = .01 the effect of patient age is:
A)very clearly significant.
B)just barely significant.
C)not quite significant.

Question

Here is an Excel ANOVA table for an experiment that analyzed two factors that may affect patients' blood pressure (some information is missing). $$\begin{array} { | l | c | c | c | c | c | } 
\hline \text { Source of Variation } & \text { SS } & d f & \text { MS } & F & \text { P-value } \
\hline \text { Medication type } & 16.5313 & 1 & 16.5313 & 9.173 & 0.006 \
\hline \text { Patient age group } & 25.0938 & & 8.3646 & 4.642 & 0.011 \
\hline \text { Interaction } & 1.8438 & 3 & 0.6146 & 0.341 & 0.796 \
\hline \text { Error } & 43.2504 & 24 & 1.8021 & & \
\hline & & & & & \
\hline \text { Total } & 86.7192 & & & & \
\hline
\end{array}$$ At ? = .01 the effect of patient age is:
A)very clearly significant.
B)just barely significant.
C)not quite significant.

Quizplus · Accepted Answer

The Answer of Here is an Excel ANOVA table for an experiment that analyzed two factors that may affect patients' blood pressure (some information is missing). $$\begin{array} { | l | c | c | c | c | c | } 
\hline \text { Source of Variation } & \text { SS } & d f & \text { MS } & F & \text { P-value } \
\hline \text { Medication type } & 16.5313 & 1 & 16.5313 & 9.173 & 0.006 \
\hline \text { Patient age group } & 25.0938 & & 8.3646 & 4.642 & 0.011 \
\hline \text { Interaction } & 1.8438 & 3 & 0.6146 & 0.341 & 0.796 \
\hline \text { Error } & 43.2504 & 24 & 1.8021 & & \
\hline & & & & & \
\hline \text { Total } & 86.7192 & & & & \
\hline
\end{array}$$ At ? = .01 the effect of patient age is:
A)very clearly significant.
B)just barely significant.
C)not quite significant.

Here Is an Excel ANOVA Table for an Experiment That