statsmodels.stats.weightstats.DescrStatsW.ttest_mean¶
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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)
 
