how does winsorized mean impact hypothesis testing 
winsorized mean can affect the results of hypothesis testing by reducing the impact of extreme values on statistical tests in cases where outliers might lead to erroneous conclusions winsorized mean can provide more reliable test outcomes making it a useful tool in hypothesis testing with non normal or skewed data the bottom linewinsorized mean is a statistical measure used to calculate the average of a dataset by replacing a specified percentage of extreme values or outliers with less extreme ones this approach reduces the impact of outliers providing a more robust estimate of the central tendency that is less sensitive to extreme values compared to the traditional arithmetic mean 