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Well, not really. The fact that CLT applies to a wide variety of distributions is a much stronger, mysterious and astonishing fact than what is demonstrated her
by Jabbles 13y ago
Well, not really. The fact that CLT applies to a wide variety of distributions is a much stronger, mysterious and astonishing fact than what is demonstrated here.
It would be like demonstrating that you've cracked RSA with p = 7, q = 11.
- calinet6 13y agoAgreed, learned more, was wrong, deleted comment. Curious though—doesn't the CLT apply to this distribution too, technically? Isn't the binomial distribution being sampled and converging on a normal distribution, as per the CLT? Maybe some more explanation would enlighten us.
- Jabbles 13y agoYes, this is definitely a special case of CLT. For instance, see: https://en.wikipedia.org/wiki/De_Moivre%E2%80%93Laplace_theorem https://en.wikipedia.org/wiki/De_Moivre%E2%80%93Laplace_theo...
- mturmon 13y agoSure, but the CLT holds in very great generality -- to variables that are not independent, and to stochastic processes. Any demonstration is bound to be a special case.