Paper II · 2 Central Tendency, Dispersion, Skewness & Kurtosis · 2.2 Dispersion, skewness and the normal distribution
2.2.2 Moments, skewness (Karl Pearson and Bowley), kurtosis and the normal distribution
Skewness measures the lack of symmetry of a distribution, kurtosis measures how peaked it is compared with the normal curve, and moments give one family of formulas for both; the normal distribution is the symmetric, mesokurtic benchmark.
- TGPSC MPSO / ASO · Paper II
- Advanced level
- 10 min read
- Full course
Key terms
- moments
- raw moments
- central moments
- beta coefficients
- gamma coefficients
- skewness
- positive skewness
- negative skewness
- Karl Pearson coefficient of skewness
- Bowley coefficient of skewness
- Kelly coefficient
- kurtosis
- leptokurtic
- mesokurtic
- platykurtic
- normal distribution
- standard normal
- z score
- area under normal curve
- Sheppard's correction
What this note covers
- Core factsFoundation
- ExplainedStandard
- DeeperAdvanced
- Mains writingMains writing
- Common trapsFoundation
- Quick revisionFoundation
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