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skewness

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The answer SKEWNESS has 1 possible clue(s) in existing crosswords.

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The word SKEWNESS is VALID in some board games. Check SKEWNESS in word games in Scrabble, Words With Friends, see scores, anagrams etc.

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Definitions of skewness in various dictionaries:

noun - an oblique or slanting asymmetry

noun - lack of symmetry

SKEWNESS - In probability theory and statistics, skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about i...

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Possible Crossword Clues
Statistical asymmetry

Last Seen in these Crosswords & Puzzles
Sep 6 2015 Premier Sunday - King Feature Syndicate

Skewness description
In probability theory and statistics, skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean. The skewness value can be positive or negative, or undefined. * The qualitative interpretation of the skew is complicated and unintuitive. Skew does not refer to the direction the curve appears to be leaning; in fact, the opposite is true. For a unimodal distribution, negative skew indicates that the tail on the left side of the probability density function is longer or fatter than the right side it does not distinguish these two kinds of shape. Conversely, positive skew indicates that the tail on the right side is longer or fatter than the left side. In cases where one tail is long but the other tail is fat, skewness does not obey a simple rule. For example, a zero value means that the tails on both sides of the mean balance out overall; this is the case for a symmetric distribution, but is also true for an asymmetric distribution

Skewness description

In probability theory and statistics, skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean. The skewness value can be positive or negative, or undefined.
* The qualitative interpretation of the skew is complicated and unintuitive. Skew does not refer to the direction the curve appears to be leaning; in fact, the opposite is true. For a unimodal distribution, negative skew indicates that the tail on the left side of the probability density function is longer or fatter than the right side it does not distinguish these two kinds of shape. Conversely, positive skew indicates that the tail on the right side is longer or fatter than the left side. In cases where one tail is long but the other tail is fat, skewness does not obey a simple rule. For example, a zero value means that the tails on both sides of the mean balance out overall; this is the case for a symmetric distribution, but is also true for an asymmetric distribution

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