1) Determine if any of the monthly revenue values is a statistical outlier to the data set.   [III] Select a statistical procedure to determine if the set of gross income figure contains an  outlier.    What procedure did you select?           [III] What did you decide about an outlier in the data set?        [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.                                                                        [I] Enter the 5-number summary for the income data set.    Min:  _7090________           Q1:    ______7729___      Median: ________8510_         Q3: ____9270______       Max: ­­­­­  ____9720____      [I] Is there a Mode in the data set?  This data set does not have a Mode.        [I] Compute the Mean of the income data set.     2.  You now have the mean and the 5-number summary.    [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?     [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.