mvpa2.misc.stats.ttest_1samp¶

mvpa2.misc.stats.
ttest_1samp
(a, popmean=0, axis=0, mask=None, alternative='twosided')¶ Calculates the Ttest for the mean of ONE group of scores
a
.This is a refinement for the
scipy.stats.ttest_1samp()
for the null hypothesis testing that the expected value (mean) of a sample of independent observations is equal to the given population mean,popmean
. It adds ability to carry single tailed test as well as operate on samples with varying number of active measurements, as specified bymask
argument.Since it is only a refinement and otherwise it should perform the same way as the original ttest_1samp – the name was overloaded.
Parameters: a : array_like
sample observations
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 dimensionaxis : int, optional, (default axis=0)
Axis can equal None (ravel array first), or an integer (the axis over which to operate on a).
mask : array_like, bool
bool array to specify which measurements should participate in the test
alternative : (‘twosided’, ‘greater’, ‘less’)
alternative two test
Returns: t : float or array
tstatistic
prob : float or array
pvalue
Examples
TODO