# Thread: Central Limit Theorem

1. ## Central Limit Theorem

Can someone please give me a hint as to what I am supposed to be looking for here? I have searched my textbook front to back and the internet and am so confused. Please help! Thanks!

State the main points of the Central Limit Theorem for a mean.

2. Originally Posted by syaaram7805
Can someone please give me a hint as to what I am supposed to be looking for here? I have searched my textbook front to back and the internet and am so confused. Please help! Thanks!

State the main points of the Central Limit Theorem for a mean.
One conclusion of the Central Limit Theorem is that if $Y_1$, $Y_2$, ..... $Y_n$ are independent and identically distributed random variables with $E(Y_i) = \mu$ and $Var(Y_i) = \sigma^2$ both finite, then $\bar{Y} = \frac{1}{n} \sum_{i=1}^n Y_i$ is asymptotically normal with mean $\mu$ (and variance $\frac{\sigma^2}{n}$).

3. ## Central Limit Theorem

Thank you so much for helping understand what this was looking for. Now that I have read that I think I know where to go from here. Thanks so much!

4. Originally Posted by mr fantastic
One conclusion of the Central Limit Theorem is that if $Y_1$, $Y_2$, ..... $Y_n$ are independent and identically distributed random variables with $E(Y_i) = \mu$ and $Var(Y_i) = \sigma^2$ both finite, then $\bar{Y} = \frac{1}{n} \sum_{i=1}^n Y_i$ is asymptotically normal with mean $\mu$ (and variance $\frac{\sigma^2}{n}$).
Originally Posted by syaaram7805
Can someone please give me a hint as to what I am supposed to be looking for here? I have searched my textbook front to back and the internet and am so confused. Please help! Thanks!

State the main points of the Central Limit Theorem for a mean.
What Mr F writes is the gist of the very first hit by Google for the search string "central limit theorem for mean".

RonL