Kolmogorov-Smirnov Test. The Kolmogorov-Smirnov one-sample test for normality is based on the maximum difference between the sample cumulative distribution and the hypothesized cumulative distribution.
The Kolmogorov-Smirnov test (Chakravart, Laha, and Roy, 1967) is used to decide if a sample comes from a population with a specific distribution.
Normality tests like Kolmogorov-Smirnov test or Shapiro-Wilks test (although just a simple Q-Q plot often proves sufficient).
Tests of homogeneity of the variances, like Bartlett's test or Levene's test.
 See also: Distribution, Normal distribution, Variance, ANOVA, Histogram
  
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