Statistics Formula: Where did it come from?

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Discussion Overview

The discussion revolves around the origins and derivation of a specific statistics formula, particularly focusing on the variance and standard deviation. Participants explore theoretical concepts and practical implications related to these statistical measures.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Homework-related

Main Points Raised

  • One participant inquires about the origins of a specific statistics formula and the numbers involved in its creation.
  • Another participant mentions that the mathematical expectation of s² represents the theoretical variance of the statistical average, though this does not fully address the original question.
  • A different participant explains the concept of using a few numbers to represent a larger dataset, introducing the mean and discussing the need to understand the spread of data through variance and standard deviation.
  • A follow-up question is raised regarding the use of (n-1) in the formula, indicating a desire for clarification on this aspect.
  • A participant provides a link to a Wikipedia article on variance, suggesting it as a resource for further understanding the distinction between population variance and sample variance.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the specific origins of the formula or the rationale behind using (n-1). Multiple viewpoints and questions remain unresolved.

Contextual Notes

The discussion includes assumptions about statistical concepts that may not be explicitly stated, such as the definitions of population versus sample variance. There are also unresolved mathematical steps in the derivation of the standard deviation.

Who May Find This Useful

Students studying statistics, particularly those preparing for quizzes or exams, as well as individuals interested in the foundational concepts of statistical measures.

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This may not answer your question completely. However the mathematical expectation (theoretical average) of s2 is the theoretical variance of the statistical average.
 
This will not be completely answer it but
In statistics the idea is to get a picture of how lots of numbers act by using a few numbers. The first statistic often used is the mean
mean=sum/number
If our data has mean 0 we might like to know are all the numbers zero, most, maybe half are 1000000000 and half -1000000000. We want an idea of spreadoutness. so we consider
mean(x-mean(x))
but it is zero we cure that with
mean((x-mean(x))^2)
but we are using n numbers like n+1 (mean(x) depends on x hence is not its own number)
so we do
(n/(n-1))mean((x-mean(x))^2)
but it is squarey so
sqrt((n/(n-1))mean((x-mean(x))^2))
which is the standard deviation we know and love
 
That helps thx. I now get most of the formula except why is it (n-1)?
 

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