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)