The Central Limit Theorem, Part 1 of 2
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Uploader Comments (Lutemann)
All Comments (7)
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Thank you, love this video!
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good video, So just to clear things up, i was wondering when to use: σ= (σ²/(n^1/2)) and the answer is that it is just when you have a sample size approx. larger than 30?
also, we learnt this other rule in my stats class that at some point you have to add .5 and subtract .5 to make up for.. something? and i was wondering if you could tell me when to use this rule if it rings a bell.
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A couple of critiques. N≥30 is only a rule of thumb. It's not something that the CLT specifies. Second, your part a) is correct, but parts b) and c) are true regardless of the sample size. It's just that with small sample sizes, you can't say the sample distributions of those means are N(μ, σ²/n).
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very good
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Nice video, i also have a video on the central limit theorem if your interested, its just a real world verification of it.
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THANK YOU
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Hey Lutemann,
I am a High School Student currently in Algebra II, but I've taken it upon myself to try to teach myself Statistics like this, do you know any good online resources that are free?
Oh, and thanks for the lesson in Central Limit Theorem, it was very comprehensive and even though this is Math I've not gotten too yet it makes sense to me now!
Much thanks!
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Buy an AP staitistics review book. Most are pretty good.
Lutemann 3 years ago