Added: 4 years ago
From: bionicturtledotcom
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  • Thank you thank you thank you!

  • excellent video... thanks

    

  • The CLT is one of the most fascinating results in all of statistics and probability. And certainly; don't leave physics with it!

  • thank you very much

  • very good, thanx for explenation.

  • You just explained this about 10x better than my prof. You also saved my ass in statistics :D ty so much!

  • Thanks very much David. This is the best example for CLT.

  • Hey Dave,

    On column D, Sample Statistics, Sum-6. How do you get those values? Can you please let us know the formula or your reasoning? Thanks a bunch.

  • And where's the proof?

  • @howeworth he just showed it to you, he never said he was going to do a mathematical proof.

  • Thanks David

  • very good tutorial

  • my statistics teacher keeps telling us that the sample mean really starts to fit the normal distribution when sample size is about 30 (n=30) is this generally considered the rough cut off point for when the CLT applies?

  • Yes, unless the underlying distribution is normal or very close to normal. In the dice case, yes you would have to have roughly 30 for CLT to apply, though you could probably get away with a little less.

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