Proof for Mean-Mode=3(Mean-Median)

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SUMMARY

The discussion centers on the empirical relationship between the mean, median, and mode, specifically the formula Mode = 3Median - 2Mean. Participants express skepticism regarding its general validity, noting that it may not apply to all distributions, particularly those lacking a mode. The formula is linked to the Edgeworth series, which accounts for skewness and kurtosis in probability density functions (PDFs). The relationship is recognized as a guideline rather than a strict rule, primarily developed from observations of moderately skewed datasets.

PREREQUISITES
  • Understanding of basic statistical concepts: mean, median, and mode
  • Familiarity with the Edgeworth series and its applications
  • Knowledge of skewness and kurtosis in probability distributions
  • Ability to perform algebraic manipulations in statistics
NEXT STEPS
  • Research the derivation of the Edgeworth series and its implications in statistics
  • Explore the relationship between skewness, kurtosis, and the empirical formula for mean, median, and mode
  • Examine case studies of distributions that lack a mode
  • Investigate Karl Pearson's contributions to statistical guidelines and their historical context
USEFUL FOR

Statisticians, data analysts, and students studying descriptive statistics who seek to understand the relationships between mean, median, and mode in various distributions.

Raghav Gupta
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Can anybody give proof of the above relationship algebraically?I have not seen the derivation of it.
 
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I don't think that this is a generally valid relationship. I would guess that it holds for a PDF expressed in terms of a lowest order Edgeworth series.
 
DrDu said:
I don't think that this is a generally valid relationship. I would guess that it holds for a PDF expressed in terms of a lowest order Edgeworth series.
I was in a hurry and when one is not familiar with the derivation ,often one messes the formula.
Yeah the correct relationship is Mode=3Median-2Mean.What is the derivation for it?
 
That's the same formula you wrote before, only solved for Mode. It is not a general valid equation. For example, there are distributions which don't even have a mode, but a median and a mean.
I suppose you can get it using an Edgeworth expansion including the skewness and the curtosis:
http://en.wikipedia.org/wiki/Edgeworth_series
 
I hardly know more about this relation than you. In the link I found there are all the references to original articles you need.
 
DrDu said:
I hardly know more about this relation than you. In the link I found there are all the references to original articles you need.
I have seen that link in Mathematics stack exchange before and I did't get it that's why I have posted it here.When you first posted that it is not a valid relationship I thought that modification in statistic may have came for this formula.
 
  • #10
No problem if you don't know but if you can help for some initial steps It would help me.
 
  • #11
Karl Pearson (I believe) developed that guideline (not a rule) from observations of many slightly to moderately skewed data sets and distributions. The equality you've written really should be taken as "approximately equal to", since the intent of the relationship was to have a quick way to approximate values. I don't know whether he published a derivation or simply mentioned it in an aside or lecture.
 

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