Question

c). hakim suggests removing the outliers from each data set because they are so unusual. is this the right action to take? explain your reasoning.

Explanation:

Outliers can distort statistical analyses and models as they are extreme values that don't follow the general pattern of the data. However, removing them isn't always the right action. Sometimes, outliers represent real - world phenomena or important data points. If they are due to data entry errors or measurement mistakes, removal may be appropriate. But if they are genuine values from the population under study, removing them can lead to loss of important information and bias in results.

Answer:

It may not be the right action. The decision to remove outliers should be based on whether they are due to errors or are genuine but extreme data points.