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scipy.stats.mstats.

# ttest_rel

scipy.stats.mstats.ttest_rel(a, b, axis=0, alternative='two-sided')

  Calculates the T-test on TWO RELATED samples of scores, a and b.

  Parameters:
    a, barray_like

      The arrays must have the same shape.

    axisint or None, optional

      Axis along which to compute test. If None, compute over the whole arrays, a, and b.

    alternative{‘two-sided’, ‘less’, ‘greater’}, optional

      Defines the alternative hypothesis. The following options are available (default is ‘two-sided’):

      - ‘two-sided’: the means of the distributions underlying the samples are unequal.

      - ‘less’: the mean of the distribution underlying the first sample is less than the mean of the distribution underlying the second sample.

      - ‘greater’: the mean of the distribution underlying the first sample is greater than the mean of the distribution underlying the second sample.

      Added in version 1.7.0.

  Returns:
    statisticfloat or array

      t-statistic

    pvaluefloat or array

      two-tailed p-value

  Notes

  For more details on `ttest_rel`, see `scipy.stats.ttest_rel`.