Which of the following statements describes when the median is a better measure of centre than the mean?
A) When the distribution is symmetric.
B) When the distribution is positively skewed.
C) When the distribution Is negatively skewed.
D) When the distribution is positively skewed or negatively skewed.

Question

Which of the following statements describes when the median is a better measure of centre than the mean? 
A) When the distribution is symmetric.
B) When the distribution is positively skewed.
C) When the distribution Is negatively skewed.
D) When the distribution is positively skewed or negatively skewed.

Quizplus · Accepted Answer

The median is a better measure of center than the mean when the distribution is skewed (either positively or negatively) because it is not affected by extreme values or outliers, unlike the mean.

Which of the Following Statements Describes When the Median Is