Question

Which statement is true about a skewed distribution?

A. The mean lies to the right of the median for a negatively skewed distribution.
B. The mean lies to the left of the median for a positively skewed distribution.
C. The mean lies to the left of the median for a symmetric distribution.
D. A distribution skewed to the left is said to be negatively skewed.
E. A distribution skewed to the right is said to be positively skewed.

Answer 1

The mean lies to the right of the median for a positively skewed distribution.

Step-by-step explanation:

Answer 2

A. The mean lies to the right of the median for a negatively skewed distribution.FALSE
B. The mean lies to the left of the median for a positively skewed distribution.FALSE
C. The mean lies to the left of the median for a symmetric distribution.FALSE
D. A distribution skewed to the left is said to be negatively skewed.TRUE
E. A distribution skewed to the right is said to be positively skewed.TRUE

Skewness is a measure of the asymmetry of the probability distribution of a real-valued random variables about their mean. The value skewed distribution can be positive or negative.