look at the outlier, consider it's effect on your data set. Delete it, them from your list and see how the calculations and graphical displays. change

1. Considering the mean versus median and interquartile range versus standard deviation, which of these summary statistics was most affected by the Outlier?

2. which was least affected?

3. Explain why this would always be the case with a large enough data set.

4. Then restore the data to set to all the original Values.

Calculations:	Object 1	Object 2	Object 1 with Outlier
Low	-62.4	-62.4	-62.4
Q1	15.25	-25.75	17.5
Q2	45	-15	52.8
Q3	66.6	17.25	67.2
High	99.6	76.8	150
IQR	51.35	43	49.7
Mean	36.58	-6.78	40.23870968
SD	37.83237943	31.80324302	42.26940995