statsmodels.stats.weightstats.DescrStatsW.ttest_mean

DescrStatsW.ttest_mean(value=0, alternative='two-sided') [source]

ttest of Null hypothesis that mean is equal to value.

The alternative hypothesis H1 is defined by the following ‘two-sided’: H1: mean not equal to value ‘larger’ : H1: mean larger than value ‘smaller’ : H1: mean smaller than value

Parameters:	value (float or array) – the hypothesized value for the mean alternative (string) – The alternative hypothesis, H1, has to be one of the following ’two-sided’: H1: mean not equal to value (default) ‘larger’ : H1: mean larger than value ‘smaller’ : H1: mean smaller than value
Returns:	tstat (float) – test statisic pvalue (float) – pvalue of the t-test df (int or float)