Connection between mean and median

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SUMMARY

The discussion centers on the relationship between the mean and median in statistical distributions, particularly as the sample size increases. It is established that the mean and median will converge only in symmetric distributions, such as normal distributions. As the dataset size grows, the difference between the mean and median decreases, approaching zero for very large datasets. The example provided illustrates that with a small sample size, such as (0, 1, 10), the mean and median can differ significantly.

PREREQUISITES
  • Understanding of basic statistical concepts: mean and median
  • Familiarity with symmetric and asymmetric distributions
  • Knowledge of sample size effects in statistics
  • Basic grasp of probability theory
NEXT STEPS
  • Study the properties of symmetric distributions, particularly the normal distribution
  • Explore the Central Limit Theorem and its implications for mean and median convergence
  • Investigate the impact of sample size on statistical measures
  • Learn about different types of distributions and their characteristics
USEFUL FOR

Statisticians, data analysts, students in statistics courses, and anyone interested in understanding the behavior of mean and median in relation to dataset size and distribution types.

dextercioby
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TL;DR
See title and problem below.
I have 100 random real (even rational with only one decimal, like average temperatures of months at a particular weather station) numbers. With them I compute the arithmetical mean and the median. It is a (very) small probability they are the same number within let's say 0,1 or 0,2.

Question. If I let the number of items increase (let us say 1000 instead of 100), is it more probable that the difference between the mean and the median decreases? It is true that for a very, very large number of numbers this difference is arbitrarily close to 0, FAPP is 0?
 
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Mean and median will only be the same for a distribution symmetric around the mean. Example: (0,1,10) has a median of 1 and a mean of 11/3.
 
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I think that only applies to symmetric distributions, that the mean and median will approach the same value for very very large data sample.

mathman said:
Mean and median will only be the same for a distribution symmetric around the mean. Example: (0,1,10) has a median of 1 and a mean of 11/3.
The question was what will happen if you have very very large dataset. Your example has three numbers.
 
Last edited:
malawi_glenn said:
I think that only applies to symmetric distributions, that the mean and median will approach the same value for very very large data sample.The question was what will happen if you have very very large dataset. Your example has three numbers.

No, they're suggesting a distribution that takes three values with equal probability
 

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