# scipy.stats.mstats.compare_medians_ms

scipy.stats.mstats.compare_medians_ms(group_1, group_2, axis=None)

  Compares the medians from two independent groups along the given axis.

  The comparison is performed using the McKean-Schrader estimate of the standard error of the medians.

  Parameters
    group_1 array_like

      First dataset. Has to be of size >=7.

    group_2 array_like

      Second dataset. Has to be of size >=7.

    axis int, optional

      Axis along which the medians are estimated. If None, the arrays are flattened. If axis is not None, then group_1 and group_2 should have the same shape.

  Returns
    compare_medians_ms{float, ndarray}

      If axis is None, then returns a float, otherwise returns a 1-D ndarray of floats with a length equal to the length of group_1 along axis.

scipy.stats.mstats.msign scipy.stats.mstats.median_cihs