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scipy.stats.mstats.

# normaltest

scipy.stats.mstats.normaltest(a, axis=0)

  Tests whether a sample differs from a normal distribution.

  Parameters:
    aarray_like

      The array containing the data to be tested.

    axisint or None, optional

      Axis along which to compute test. Default is 0. If None, compute over the whole array a.

  Returns:
    statisticfloat or array

      `s^2 + k^2`, where `s` is the z-score returned by `skewtest` and `k` is the z-score returned by `kurtosistest`.

    pvaluefloat or array

      A 2-sided chi squared probability for the hypothesis test.

  Notes

  For more details about `normaltest`, see `scipy.stats.normaltest`.