mars.tensor.stats.
ttest_1samp
Calculate the T-test for the mean of ONE group of scores.
This is a two-sided test for the null hypothesis that the expected value (mean) of a sample of independent observations a is equal to the given population mean, popmean.
a (array_like) – Sample observation.
popmean (float or array_like) – Expected value in null hypothesis. If array_like, then it must have the same shape as a excluding the axis dimension.
axis (int or None, optional) – Axis along which to compute test; default is 0. If None, compute over the whole array a.
nan_policy ({'propagate', 'raise', 'omit'}, optional) –
Defines how to handle when input contains nan. The following options are available (default is ‘propagate’):
’propagate’: returns nan ’raise’: throws an error ’omit’: performs the calculations ignoring nan values
’propagate’: returns nan
’raise’: throws an error
’omit’: performs the calculations ignoring nan values
alternative ({'two-sided', 'less', 'greater'}, optional) –
Defines the alternative hypothesis. The following options are available (default is ‘two-sided’):
’two-sided’ ’less’: one-sided ’greater’: one-sided
’two-sided’
’less’: one-sided
’greater’: one-sided
statistic (float or array) – t-statistic.
pvalue (float or array) – Two-sided p-value.