A winsorized mean replaces values beyond chosen percentiles with the boundary percentile values, then averages the modified sample. Extreme observations are capped rather than deleted. That keeps sample size intact while limiting outlier pull. Mixing winsorizing with trimming is a common vocabulary trap on quant questions.