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.
Thank you thank you thank you!
charissebmelanie 3 months ago
excellent video... thanks
adam12081041993 9 months ago
The CLT is one of the most fascinating results in all of statistics and probability. And certainly; don't leave physics with it!
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criseldaprangehkg 1 year ago
thank you very much
rrayoflight 1 year ago
very good, thanx for explenation.
BojanGersak 1 year ago
You just explained this about 10x better than my prof. You also saved my ass in statistics :D ty so much!
CodeRedMD6969 1 year ago
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this is scary if u read this far u will die in 10 days if u dont send to any 15 videos in 2 hours good luck hope u dont die
kaybay0724 2 years ago
Thanks very much David. This is the best example for CLT.
Am2809 2 years ago
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.
rober2eduardo 2 years ago
And where's the proof?
howeworth 3 years ago
@howeworth he just showed it to you, he never said he was going to do a mathematical proof.
NoNiceNamesLeft 2 months ago
Thanks David
vohra82 3 years ago
very good tutorial
jimmyharker 3 years ago
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?
magipablo 3 years ago
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.
kingslice75 3 years ago