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Skewness

Skewness in probability theory and statistics is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean. Similarly to kurtosis, it provides insights into shape-related characteristics of a distribution. The skewness value can be positive, zero, negative, or undefined.

Applications, Definition & Other measures of skewness

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Overview

Introduction

Relationship of mean and median

Definition

Applications

Other measures of skewness

Advanced semantic analysis

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Map overview Semantic statistics

Skewness

Nodes67
Edges66
Triples64
Avg. degree1.97
Density0.029851
Components1

How this topic connects Entity context

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Skewness

Top relations

related to External links · 15
Skewness → An Asymmetry Coefficient, Asymmetry, Closed-skew Distributions, EMS Press, Encyclopedia, Estimation, Inversion, Kim, Kurtosis Comparison, Mathematics, Michel PetitjeanOn More Robust, Multivariate Distributions, Parameter Estimation, Simulation, White
related to Distance skewness · 8
Skewness → Distance, Euclidean, If, It, Pr, Thus, X'-2, X-X
related to Quantile-based measures · 8
Skewness → Bowley's, Galton's, Kendall, MAD, Other, The, Yule, Yule's
related to Fisher's moment coefficient of skewness · 5
Skewness → It, Pearson's, Skew, The, This
related to Introduction · 4
Skewness → Consider, The, These, Within
related to Other measures of skewness · 4
Skewness → Karl Pearson, Other, Pearson's, These
related to L-moments · 3
Skewness → L-moments, L-skewness, Use
related to Relationship of mean and median · 3
Skewness → However, In, The
related to Examples · 2
Skewness → Examples, Pr
related to Groeneveld and Meeden's coefficient · 2
Skewness → Groeneveld, Meeden

Important terminology Word statistics

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Important terminology

distribution mean median displaystyle symmetric skew right sample frac left value distributions measure tail positive zero negative moment defined normal

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
a confidence interval for a mean will be not only incorrectinstance ofstandard statistical inference procedures0.80text
in the sense that the true coverage level will differ from the nominalinstance ofstandard statistical inference procedures0.80text
Skewnessrelated to Distance skewnessThus0.60section
Skewnessrelated to Distance skewnessIt0.60section
Skewnessrelated to Distance skewnessIf0.60section
Skewnessrelated to Distance skewnessEuclidean0.60section
Skewnessrelated to Distance skewnessPr0.60section
Skewnessrelated to Distance skewnessX-X0.60section
Skewnessrelated to Distance skewnessX'-20.60section
Skewnessrelated to Distance skewnessDistance0.60section
Skewnessrelated to ExamplesPr0.60section
Skewnessrelated to ExamplesExamples0.60section

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