{ } Raw JSON

bundles / scipy latest / scipy / stats / _mstats_basic / ttest_1samp

function

scipy.stats._mstats_basic:ttest_1samp

source: /scipy/stats/_mstats_basic.py :1439

Signature

def   ttest_1samp ( a popmean axis = 0 alternative = two-sided )

Summary

Calculates the T-test for the mean of ONE group of scores.

Parameters

a : array_like

sample observation

popmean : float or array_like

expected value in null hypothesis, if array_like than it must have the same shape as a excluding the axis dimension

axis : int or None, optional

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

alternative : {'two-sided', 'less', 'greater'}, optional

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

  • 'two-sided': the mean of the underlying distribution of the sample is different than the given population mean (popmean)

  • 'less': the mean of the underlying distribution of the sample is less than the given population mean (popmean)

  • 'greater': the mean of the underlying distribution of the sample is greater than the given population mean (popmean)

Returns

statistic : float or array

t-statistic

pvalue : float or array

The p-value

Notes

For more details on ttest_1samp, see scipy.stats.ttest_1samp.

Aliases

  • scipy.stats._mstats_basic.ttest_1samp