Final answer:
The trimming percentage refers to the proportion of the lowest and highest values removed from a dataset when calculating the trimmed mean, which is a technique used to reduce the influence of outliers.
Step-by-step explanation:
The term trimming percentage often relates to statistical data analysis, specifically in the calculation of trimmed means. To determine a trimmed mean, a certain percentage of the lowest and highest data points are removed from the dataset. This process can help in reducing the impact of outliers on the mean calculation, resulting in a measure that is more representative of the central tendency of the data set.
To calculate the trimming percentage, you will decide on the percentage of values to exclude from each end of the data set. For example, if you decide on a 5% trimming percentage for a data set with 100 points, you would remove the lowest 5 values and the highest 5 values before calculating the mean of the remaining data.