The analyst Winsorized the extreme values before calculating the final summary statistics.

Winsorizing the dataset reduced the influence of extreme outliers and yielded more robust estimates.

To reduce the influence of extreme values in our dataset, we applied Winsorisation to the sample before calculating the mean.

To protect the analysis from extreme values, we decided to Winsorise the sample at the 1st and 99th percentiles.

The data analyst recommended winsorisation to reduce the impact of extreme outliers on the mean.

To reduce the impact of outliers, the statistician decided to winsorise the dataset before running the regression.

She winsorised the dataset before running the regression to reduce the influence of outliers.

The outliers were Winsorised before the analysts began the regression.

Winsorising the outliers reduced the impact of extreme values on the mean.

By winsorising the dataset, the analyst reduced the impact of extreme outliers on the regression estimates.