statsmodels.stats.robust_compare.TrimmedMean.ttest_mean

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

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.