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