`scipy.stats._mstats_basic:ttest_1samp`

Signature

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

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

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)