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.

Question

08-08-2016
English

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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.

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Hussain514 Hussain514 · Answer 1 · 2016-08-13T18:59:32+02:00

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.

athleteaussie athleteaussie · Answer 2 · 2019-03-08T20:32:43+01:00

athleteaussie athleteaussie

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Hussain was right both d and e are correct. Plato is very inaccurate sometimes. I would just guess between the two its 50/50

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