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# scipy.stats.mood

`scipy.stats.``mood`(x, y)

  Perform Mood’s test for equal scale parameters.

  Mood’s two-sample test for scale parameters is a non-parametric test for the null hypothesis that two samples are drawn from the same distribution with the same scale parameter.

  Parameters : | x, y : array_like Arrays of sample data.
  Returns : | z : float The z-score for the hypothesis test. p-value : float The p-value for the hypothesis test.

  See also

  `fligner`
    A non-parametric test for the equality of k variances
  `ansari`
    A non-parametric test for the equality of 2 variances
  `bartlett`
    A parametric test for equality of k variances in normal samples
  `levene`
    A parametric test for equality of k variances

  Notes

  The data are assumed to be drawn from probability distributions f(x) and f(x/s)/s respectively, for some probability density function f. The null hypothesis is that s = 1.

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