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Use This Earned Schedule Table to Determine the Schedule Variance

question 30

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Use this earned schedule table to determine the schedule variance (t) for this project at the end of Month 6.  Month 1 Month 2 Month 3 Month 4  Month 5 Month 6 Month 7 PV ($)  $125$275$500$875$1,485$2,325$2,670 EV ($)  $50$120$255$420$715$865$0\begin{array}{|l|l|l|l|l|l|l|l} & \text { Month } 1 & \text { Month } 2 & \text { Month } 3 & \text { Month 4 } & \text { Month } 5 & \text { Month } 6 & \text { Month } 7 \\\hline \text { PV (\$) } & \$ 125 & \$ 275 & \$ 500 & \$ 875 & \$ 1,485 & \$ 2,325 & \$ 2,670 \\\hline \text { EV (\$) } & \$ 50 & \$ 120 & \$ 255 & \$ 420 & \$ 715 & \$ 865 & \$ 0 \\\hline\end{array}


Definitions:

Sampling Error

The error that arises from using a sample to estimate a population parameter, due to the sample not perfectly representing the population.

Confidence Desired

The degree of certainty or level of confidence one desires in the results of a statistical analysis, often expressed as a percentage.

Confidence Interval

A range of values, derived from sample statistics, that is believed to contain the true population parameter with a certain probability level.

Sampling Error

The difference between a sample statistic and the corresponding population parameter due to the fact that the sample is not a perfect representation of the population.

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