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Visualizing Mean, Median, Mean Deviation, and Standard Deviation of a Set of Numbers

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  • Jyotirmoy Sarkar
  • Mamunur Rashid

Abstract

We review the existing visualizations of the mean and the median of a given set of numbers. Then we give an alternative visualization of the mean using the empirical cumulative distribution function of the given numbers. Next, we visualize the mean deviation (MD) and the mean square deviation (MSD) of the given numbers from any arbitrary value, including the variance. In light of these new visualizations, we revisit the well-known optimal properties of the MD from the median and the MSD from the mean. We also give a more elementary explanation of why the denominator of the sample variance of a set of numbers is one less than the sample size.

Suggested Citation

  • Jyotirmoy Sarkar & Mamunur Rashid, 2016. "Visualizing Mean, Median, Mean Deviation, and Standard Deviation of a Set of Numbers," The American Statistician, Taylor & Francis Journals, vol. 70(3), pages 304-312, July.
    • Handle: RePEc:taf:amstat:v:70:y:2016:i:3:p:304-312
    DOI: 10.1080/00031305.2016.1165734
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    Cited by:

    1. Peter Durcansky & Radovan Nosek & Jozef Jandacka, 2020. "Use of Stirling Engine for Waste Heat Recovery," Energies, MDPI, vol. 13(16), pages 1-15, August.

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