Outliers

freq dist, histogram, stats ***

47 50 48 51 52 55 51 53 54 52
n=___    mean=______  SD=______   Outliers?:______
Is the mean close to the median:___     and look at them in the boxplot.

Change the first datum 47 to 30.
n=___    mean=______  SD=______   Outliers?:______

Some change of the mean. How is this new mean in relation to the IQR:_________ (boxplot)
Percentage change of the SD:______%    ==(new-old)/old *100%
Outliers can have a big effect on the SD because the (x-mean) squared
has an outsized effect. Very big effect when the data set is small.



Some data distros

Copy and paste the "n=100 normally distributed, u=50, s=5" following line of numbers.

n=____    mean=______  SD=______   Outliers?:______

Change the first datum 40 to 0.
n=____    mean=______  SD=______   Outliers?:______

Much change of the mean?:____
Percentage change of the SD:______%    ==(new-old)/old *100%
Outlier still has an effect on the SD of this larger data set but not as 
much as on a small data set.
The more outliers, the more the effect on the SD.