# Sampling distribution of the sample mean 2 | Probability and Statistics | Khan Academy

More on the Central Limit Theorem and the Sampling Distribution of the Sample Mean

Watch the next lesson: https://www.khanacademy.org/math/probability/statistics-inferential/sampling_distribution/v/standard-error-of-the-mean?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics

Missed the previous lesson?

https://www.khanacademy.org/math/probability/statistics-inferential/sampling_distribution/v/sampling-distribution-of-the-sample-mean?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics

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I feel like I just got flipped off by Sal. 1:58 LOL

i love you!

11:45 doesnt N=25 has a larger curtosis cos -0.07 is more than -0.08? not meaning to nitpick and i get the idea but its just smth that bugged me a little haha

I love you.

this is missed up, I have over 10 years of experience in Probability and Statistics under my belt and let me tell you you will never approach a normal distribution with any sample size this because of factors that are too much for me to list write now and very difficult for normal people to understand, so the best way to go about this is to take my ward for it. signing out

n = infinity is just equal to the mean..

(6+9)/2 = 7.5

You're a god, hard carrying my Business Statistics exam haha <3

"Let's take an n of 16. That's a nice, healthy n."

But (in this case), the distribution ofthe means says less and less about the original distribution.

It's not impossible to get 7.5 when n=2, what about (9+6)/2?

Sal is amazing. He brought from the edge of hysteria. Thanks for the help Sal!

seriously:)