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

Notes

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

Examples

See :

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

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GitHub : /scipy/stats/_mstats_basic.py#1317
type: <class 'function'>
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