This is documentation for an old release of SciPy (version 0.7.). Read this page in the documentation of the latest stable release (version 1.15.1).
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.
