Skewness and kurtosis are statistical measures used in Six Sigma to describe the shape of a data distribution.
Skewness measures the asymmetry of the distribution. Positive skewness indicates a distribution with a longer tail on the right, while negative skewness indicates a longer tail on the left. A skewness of zero indicates a symmetrical distribution.
Kurtosis measures the “tailedness” of the distribution. High kurtosis indicates heavy tails and a peaked distribution, while low kurtosis indicates light tails and a flatter distribution. A kurtosis value close to zero indicates a normal distribution.
Understanding these measures helps in identifying deviations from normality, which is crucial for accurate data analysis and process improvement.
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