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A Firm Is Concerned with Variability in Hourly Output at Several

question 6

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 } & \text { df } & \text { Mean Square } & \text { FRatio } & \text { P-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} At ? = 0.01 the effect of factory is:

Understand how to compute budgeted changes in inventory levels.
Understand the process of budgeting for cash collections from customers.
Understand and calculate cash disbursements for purchases and operating expenses.
Develop a basic understanding of cash budget preparation and analysis.

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