Trimmed Mean Mastering Data Analysis by Removing Outliers
1693 reads · Last updated: January 5, 2026
A trimmed mean (similar to an adjusted mean) is a method of averaging that removes a small designated percentage of the largest and smallest values before calculating the mean. After removing the specified outlier observations, the trimmed mean is found using a standard arithmetic averaging formula. The use of a trimmed mean helps eliminate the influence of outliers or data points on the tails that may unfairly affect the traditional or arithmetic mean.Trimmed means are used in reporting economic data in order to smooth the results and paint a more realistic picture.
