statsmodels.stats.robust_compare.TrimmedMean.ttest_mean¶

TrimmedMean.ttest_mean(value=0, transform='trimmed', alternative='two-sided')[source]¶

One sample t-test for trimmed or Winsorized mean

Parameters:¶

value : float¶

Value of the mean under the Null hypothesis

transform : {'trimmed', 'winsorized'}¶

Specified whether the mean test is based on trimmed or winsorized data.

alternative : {'two-sided', 'larger', 'smaller'}¶

Notes

p-value is based on the approximate t-distribution of the test statistic. The approximation is valid if the underlying distribution is symmetric.