Consider the following sample data set.
0, 50, 66, 68, 69, 72, 74, 75, 12000
Manually calculate the mean and standard deviation of the set showing all calculations in a clear detailed table. Then, in a separate table, calculate the Z-score of each data point and indicate if it is a normal data point, a potential outlier, or an outlier. Remove any outliers and completely repeat this process. What do you observe about doing this?
and the last part that is removal of the outlier in the question can be done using python or R. Manually its a very long process so i was unable to give solution to that part of the question.
i hope my rest part of the ans is satisfactory:)) please do leave a like:) thankyou!
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