A data point that is outside the normal distribution of data is called an "outlier," which is often removed from the data before analysis because it:
A) Leads to unbiased calculations.
B) Can distort the results of the data analysis.
C) Has an upward bias on the statistical measures in regression.
D) Will always add bias to the results of a high-low analysis.

Question

Quizplus · Accepted Answer

Outliers can significantly affect the mean and standard deviation of the data, leading to skewed results. Therefore, it is often removed to improve the accuracy of data analysis.

A Data Point That Is Outside the Normal Distribution of Data