Skewness Calculator

Understanding Skewness in Statistics

Types of Skewness

Pearson's Coefficient

SK = 3(Mean - Median)/Standard Deviation

  • Simple and intuitive measure
  • Based on central tendency
  • Robust to outliers
  • Range: typically -3 to +3
  • Zero indicates symmetry

Sample Skewness

g₁ = [n/(n-1)(n-2)] Σ[(x-μ)³/σ³]

  • Moment-based measure
  • Adjusts for sample size
  • More sensitive to outliers
  • Unbiased estimator
  • Used in small samples

Population Skewness

γ₁ = E[(X-μ)³]/σ³

  • Third standardized moment
  • No bias correction
  • Theoretical measure
  • Used in large samples
  • Distribution properties

Interpretation

Positive Skewness

  • Right-tailed distribution
  • Mean > Median > Mode
  • Longer right tail
  • Common in income data
  • Asset returns
  • Response times

Negative Skewness

  • Left-tailed distribution
  • Mean < Median < Mode
  • Longer left tail
  • Exam scores
  • Age distributions
  • Quality measures

Symmetric Distribution

  • Zero skewness
  • Mean = Median = Mode
  • Normal distribution
  • Equal tails
  • Bell curve shape

Applications

Financial Analysis

  • Return distributions
  • Risk assessment
  • Portfolio analysis
  • Option pricing
  • Market indicators

Quality Control

  • Process capability
  • Defect analysis
  • Measurement systems
  • Control charts
  • Specification limits

Research Methods

  • Data screening
  • Assumption testing
  • Distribution fitting
  • Outlier detection
  • Transformation selection