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The Analysis of the Data in Problem 9 Resulted in the Following

question 39

Multiple Choice

The analysis of the data in Problem 9 resulted in the following output from Excel.

Anova: Single Factor

 SUMMARY \text { SUMMARY }
 Groups  Count  Sum  Average  Variance A4108273.333333B41002513.33333C48220.511.66667\begin{array}{lrrrr}\hline\text { Groups }&\text { Count } &{\text { Sum }} & {\text { Average }} &{\text { Variance }} \\\hline A&4 & 108 &27 & 3.333333 \\B&4 & 100 & 25 & 13.33333 \\C&4 &82 & 20.5 & 11.66667 \\\hline\end{array}

 ANOVA  Source of Variation  SS dfMSF P-value  F crit  Between Groups 88.66667244.333334.6941180.0401484.256492 Within Groups 8599.444444 Total173.666711\begin{array}{lrrrrrr}\text { ANOVA }\\\hline \text { Source of Variation } & \text { SS } & d f & M S & F & \text { P-value } & \text { F crit } \\\hline\text { Between Groups } & 88.66667& 2 & 44.33333&4.694118 &0.040148 & 4.256492\\\text { Within Groups } & 85& 9 & 9.444444 & & &\\\\\text { Total}& 173.6667&11\\\hline\end{array}

If the significance level for the test is 0.05, which conclusion below is correct?

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Definitions:

Extra Hours

Additional hours worked beyond the usual or scheduled working time, often eligible for overtime compensation.

Workflow

The sequence of processes through which a piece of work passes from initiation to completion.

Productivity

The effectiveness of productive effort, especially in industry, measured in terms of the rate of output per unit of input.

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