1. Determine if any of the monthly revenue values is a statistical outlier to the data set.

1. [III] Select a statistical procedure to determine if the set of gross income figure contains

an outlier. What procedure did you select?

1. [III] What did you decide about an outlier in the data set?

1. [III] If you found an outlier, should that value be included in projection calculations? No, because not including the outlier helps the projection calculations look better.

1. [I] Enter the 5-number summary for the income data set.

Min:_7090________

Q1: ______7729___

Median: ________8510_

Q3: ____9270______

Max: ____9720____

1. [I] Is there a Mode in the data set? This data set does not have a Mode.

1. [I] Compute the Mean of the income data set.

2. You now have the mean and the 5-number summary.

1. [III] If you were to use one of these six statistics [5-number summary and mean] to predict the October gross revenue, which one would you use?

1. [II] And why? Because it's the prior month's revenue and can be used in predicting October's gross revenue based off the calculations.