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.)


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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