Derivation of normal distribution

AI Thread Summary
The discussion focuses on finding coherent resources for understanding the derivation of the normal distribution, specifically for individuals with a background in multivariate calculus and AP Statistics. Participants emphasize the importance of specifying a starting point for the derivation, suggesting options like the limit of the binomial distribution or the Central Limit Theorem. The Central Limit Theorem is noted as a particularly appealing approach for its conceptual significance. Users are encouraged to share personal recommendations that effectively clarify the origins of the normal distribution. Overall, the thread seeks valuable insights and resources for comprehending this fundamental statistical concept.
wil3
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Hello! Would someone or several people mind posting a link to a coherent derivation of the normal distribution? Assume that the person reading it is a total moron with a multivariate calculus and AP Statistics background.

I've already looked at the top google results, so save yourself the trouble of copypasta'ing. I'm looking for any sources that you personally thought really helped you understand the derivation of it, or that in general helped show its origins.

Thank you very much.
 
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When you ask for a derivation, you need to specify a starting point.

Possibilities:
1) Limit of binomial distribution as number of trials becomes infinite.
2) Central limit theorem.
 
Central Limit Theorum seems cooler. Thanks for pointing that out!
 
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