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# scipy.stats.fligner

`scipy.stats.``fligner`(*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’

  Outputs: (Xsq, pval)

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

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

  References:

  > http://www.stat.psu.edu/~bgl/center/tr/TR993.ps

  > Fligner, M.A. and Killeen, T.J. (1976). Distribution-free two-sample tests for scale. ‘Journal of the American Statistical Association.’ 71(353), 210-213.

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