Answer to Question #121730 in Statistics and Probability for Joseph

Question

True/False: Outliers should always be removed from the data set prior to final analysis.

A.True; outliers distort model fit and must be removed to assure reliable results.

B. False; we only remove outliers after checking to make sure doing so drastically improves model fit.

C.False; we only remove outliers if we have very good justification that suggests that removing the outlier is appropriate.

Answer 1

C) False; we only remove outliers if we have very good justification that suggests that removing the outlier is appropriate.If it is obvious that the outlier is due to incorrectly entered or measured data, you should drop the outlier. If the outlier does not change the results but does affect assumptions, you may drop the outlier.