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bundles / scipy 1.17.1 / scipy / stats / _mstats_basic / ttest_rel

function

scipy.stats._mstats_basic:ttest_rel

source: /scipy/stats/_mstats_basic.py :1582

Signature

def   ttest_rel ( a ,  b ,  axis = 0 ,  alternative = two-sided )

Summary

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

Parameters

a, b : array_like

The arrays must have the same shape.

axis : int 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.

Returns

statistic : float or array

t-statistic

pvalue : float or array

two-tailed p-value

Notes

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

Aliases

  • scipy.stats._mstats_basic.ttest_rel