# statsmodels.stats.robust_compare.TrimmedMean.ttest_mean¶

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

One sample ttest for trimmed or Winsorized mean

Parameters
valuefloat

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.