Normality statistics

Normality refers to how well an observed distribution approximates a normal distribution. Many statistical procedures require assumptions of normality to be meaningful; thus, it is important to test data for normality before applying them.

Tests for normality include:

• Skewness
• Kurtosis
• Chi-Squared Goodness of Fit
• Shapiro-Wilks W
• Kolmogorov-Smirnov test

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