The following results are from a statistics package in which all of the F values and P-values are given. Is there a significant effect from the interaction? Should you test to see if there is a significant effect due to either A or B? If the answer is yes, is there a significant effect due to either A or B? $$\begin{array}{l}
\text { ANoVA 1able }\
\begin{array} { r | r | r | r | r | r }
\text { Source } & \text { DF } & \text { Sum squares } & \text { Mean square } & \text { F test } & \text { P-value } \
\hline \mathrm { A } & 2 & 415.87305 & 207.93652 & 1.88259 & .1637 \
\mathrm {~B} & 3 & 2997.47186 & 999.15729 & 9.04603 & .0001 \
\text { Interaction } & 6 & 707.26626 & 117.87771 & 1.06723 & .3958 \
\text { Error } & 46 & 5080.81667 & 110.45254 & & \
\text { Total } & 57 & 9201.42784 & & &
\end{array}
\end{array}$$

Question

The following results are from a statistics package in which all of the F values and P-values are given. Is there a significant effect from the interaction? Should you test to see if there is a significant effect due to either A or B? If the answer is yes, is there a significant effect due to either A or B? $$\begin{array}{l}
\text { ANoVA 1able }\
\begin{array} { r | r | r | r | r | r } 
\text { Source } & \text { DF } & \text { Sum squares } & \text { Mean square } & \text { F test } & \text { P-value } \
\hline \mathrm { A } & 2 & 415.87305 & 207.93652 & 1.88259 & .1637 \
\mathrm {~B} & 3 & 2997.47186 & 999.15729 & 9.04603 & .0001 \
\text { Interaction } & 6 & 707.26626 & 117.87771 & 1.06723 & .3958 \
\text { Error } & 46 & 5080.81667 & 110.45254 & & \
\text { Total } & 57 & 9201.42784 & & &
\end{array}
\end{array}$$

Quizplus · Accepted Answer

The Answer of The following results are from a statistics package in which all of the F values and P-values are given. Is there a significant effect from the interaction? Should you test to see if there is a significant effect due to either A or B? If the answer is yes, is there a significant effect due to either A or B? $$\begin{array}{l}
\text { ANoVA 1able }\
\begin{array} { r | r | r | r | r | r } 
\text { Source } & \text { DF } & \text { Sum squares } & \text { Mean square } & \text { F test } & \text { P-value } \
\hline \mathrm { A } & 2 & 415.87305 & 207.93652 & 1.88259 & .1637 \
\mathrm {~B} & 3 & 2997.47186 & 999.15729 & 9.04603 & .0001 \
\text { Interaction } & 6 & 707.26626 & 117.87771 & 1.06723 & .3958 \
\text { Error } & 46 & 5080.81667 & 110.45254 & & \
\text { Total } & 57 & 9201.42784 & & &
\end{array}
\end{array}$$

The Following Results Are from a Statistics Package in Which