Home › Exam notes › SSC CGL › Moments, Skewness & Kurtosis
Moments, Skewness & Kurtosis
Paper-II Statistics (Post-specific) · Statistics Syllabus
Useful for: SSC CGL
Overview
Moments summarise the shape of a distribution; skewness measures asymmetry and kurtosis measures peakedness.
Key points
- μ₁ about the mean is 0; μ₂ is the variance.
- Karl Pearson’s skewness = (mean − mode)/SD, or 3(mean − median)/SD.
- Bowley’s skewness = (Q₃ + Q₁ − 2Q₂)/(Q₃ − Q₁).
- Kurtosis β₂ = μ₄/μ₂²: β₂ = 3 mesokurtic (normal), > 3 leptokurtic, < 3 platykurtic.
- Positive skew: mean > median > mode; negative skew: mean < median < mode.
Explanation
- β₁ = μ₃²/μ₂³ measures skewness without sign.
- Bowley’s measure lies between −1 and +1.
- Excess kurtosis = β₂ − 3.
- Raw moments can be converted to central moments with standard relations.
Step by step
- Identify the measure or test asked and its formula.
- Organise the data (table, totals) before computing.
- Interpret the result (sign, size, significance).
Examples
- Mean 50, mode 45, SD 10 → skewness = 0.5 (positive).
- μ₂ = 4, μ₄ = 48 → β₂ = 48/16 = 3 → mesokurtic.
- Q₁ = 20, Q₂ = 30, Q₃ = 50 → Bowley = (50 + 20 − 60)/30 = 0.33.
Traps and advanced points
- Trap: Mixing signs of skewness.
- Trap: Using μ₄/μ₂ instead of μ₄/μ₂².
- Trap: Calling β₂ = 3 leptokurtic.
Quick revision
- Pearson: (mean − mode)/SD.
- β₂ = μ₄/μ₂²; 3 is normal.
- Mean > median > mode → positive skew.
Practice MCQs
The first central moment of any distribution is always
- 0
- 1
- the variance
- the mean
Read chapter notes · Similar questions
Show answer
Answer: (a) 0. The sum of deviations from the mean is zero.
The second central moment equals the
- skewness
- mean
- variance
- kurtosis
Read chapter notes · Similar questions
Show answer
Answer: (c) variance. μ₂ = σ².
A distribution with a longer right tail is
- mesokurtic
- negatively skewed
- symmetric
- positively skewed
Read chapter notes · Similar questions
Show answer
Answer: (d) positively skewed. For it, mean > median > mode.
For a symmetric distribution
- median = 0
- mean > mode
- mode > mean
- mean = median = mode
Read chapter notes · Similar questions
Show answer
Answer: (d) mean = median = mode. There is no skewness.
For a normal distribution, β₂ (Pearson's measure of kurtosis) equals
- 1
- 0
- 3
- 2
Read chapter notes · Similar questions
Show answer
Answer: (c) 3. Such a curve is mesokurtic.
A curve more peaked than the normal curve is called
- platykurtic
- leptokurtic
- mesokurtic
- bimodal
Read chapter notes · Similar questions
Show answer
Answer: (b) leptokurtic. Its β₂ is greater than 3.
More topics in this chapter
Notes and questions are written by Kundali IQ for practice. They are not official papers; always check the latest official notification for the syllabus and pattern.