Outliers

freq dist, histogram, stats ***
https://davidwills.us/math103/freq_histogram.html


47 50 48 51 52 55 51 53 54 52
n=____ 10!   mean=______  SD=______   Outliers?:______

Change the first datum 47 to 30.
n=____ 10!   mean=______  SD=______   Outliers?:______

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


Some data distros
https://davidwills.us/stat200/data_distros.txt
Copy and paste the "n=100 normally distributed, u=50, s=5" following line of numbers.

n=____ 100!   mean=______  SD=______   Outliers?:______

Change the first datum 40 to 0.
n=____ 100!   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.
There more outliers, the more the effect on the SD.