Hypothesis testClassical statistics

Robust Descriptive Statistics

Robust descriptive statistics summarize the location, spread, and shape of a dataset using measures that remain meaningful even when a fraction of the data contains outliers or severe departures from normality. Core tools include the median, trimmed mean, interquartile range (IQR), and median absolute deviation (MAD), all of which are resistant to contamination that would distort the classic mean and standard deviation.

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Sources

  1. Tukey, J. W. (1977). Exploratory Data Analysis. Addison-Wesley. ISBN: 978-0201076165
  2. Huber, P. J., & Ronchetti, E. M. (2009). Robust Statistics (2nd ed.). Wiley. ISBN: 978-0470129906

Related methods

Referenced by

ScholarGateRobust Descriptive Statistics (Robust Descriptive Statistics). Retrieved 2026-06-04 from https://scholargate.app/en/statistics/robust-descriptive-statistics