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

Quizplus · Accepted Answer

The median is a better measure of center than the mean in distributions that are skewed (either positively or negatively) because it is not affected by extreme values (outliers) as the mean is. In skewed distributions, the mean can be pulled in the direction of the skew, giving a misleading sense of the center. The median, being the middle value, better represents the central tendency in such cases.

Which of the Following Statements Describes When the Median Is