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A Firm Is Concerned with Variability in Hourly Output at Several

question 55

Multiple Choice

A firm is concerned with variability in hourly output at several factories and shifts. Here are the results of an ANOVA using output per hour as the dependent variable (some information is missing) .  Source  Sum of Squares df Mean Square  FRatio P-value  Factory 19012.5119012.526.4270.000 Shift 258.3332129.1670.1800.838 Factory* Shift 80908.333240454.16756.230 Error 8633.33312719.444 Total 108812.5176400.735\begin{array} { | l | c | c | c | c | c | } \hline \text { Source } & \text { Sum of Squares } & d f & \text { Mean Square } & \text { FRatio } & P \text {-value } \\\hline \text { Factory } & 19012.5 & 1 & 19012.5 & 26.427 & 0.000 \\\hline \text { Shift } & 258.333 & 2 & 129.167 & 0.180 & 0.838 \\\hline \text { Factory* Shift } & 80908.333 & 2 & 40454.167 & 56.230 & \\\hline \text { Error } & 8633.333 & 12 & 719.444 & & \\\hline \text { Total } & 108812.5 & 17 & 6400.735 & & \\\hline\end{array} The p-value for the interaction effect is going to be:

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