👉 Trim math, also known as trimmed mean or Winsorized mean, is a statistical technique used to estimate the central tendency of a dataset while reducing the impact of outliers. Unlike the traditional arithmetic mean, which gives equal weight to each data point, trim math involves removing a specified percentage of the smallest and largest values before calculating the mean. This process, often referred to as trimming, can provide a more robust and reliable measure of central tendency, especially in datasets with extreme values or heavy-tailed distributions. By focusing on the middle portion of the data, trim math helps mitigate the skewness caused by outliers, offering a clearer picture of the typical values in the dataset.
