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# scipy.stats.levene

`scipy.stats.``levene`(*args, **kwds)

  Perform Levene test with the null hypothesis that all input samples have equal variances.

  Inputs are sample vectors: bartlett(x,y,z,...)

  One keyword input, center, can be used with values
    center = ‘mean’, center=’median’ (default), center=’trimmed’

  center=’median’ is recommended for skewed (non-normal) distributions center=’mean’ is recommended for symmetric, moderate-tailed, dist. center=’trimmed’ is recommended for heavy-tailed distributions.

  Outputs: (W, pval)

  > W – the Test statistic pval – significance level if null is rejected with this value of W

  > > (prob. that null is true but rejected with this p-value.)

  References:

  > http://www.itl.nist.gov/div898/handbook/eda/section3/eda35a.htm

  > Levene, H. (1960). In Contributions to Probability and Statistics:
  >   Essays in Honor of Harold Hotelling, I. Olkin et al. eds., Stanford University Press, pp. 278-292.
  > Brown, M. B. and Forsythe, A. B. (1974), Journal of the American
  >   Statistical Association, 69, 364-367

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