Sampling Distribution - Central Limit Theorem - Normal Distribution

This video briefly describes the Sampling Distribution of the Sample Mean, the Central Limit Theorem, and also shows how to calculate corresponding probabilities based on the normal distribution.
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Given a normal population with a mean of 63 and a standard deviation of 12, we find the probability that a random sample of size 16 has a mean greater than 61.5.

[morganthem]

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[sunshinedesignsandmore]

I LOVE how you break things down for us to understand it instead of just trying to get an answer for the question. Best videos to learn from. Thanks!

[waleedmahmood-]

what an explanation, quite effective before my mid exam of stats

[shahedaboukraza]

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[stephaniephillips]

Very helpful video! Helped me out a lot to prepare for an exam!

[svitlanapshenychna]

Well paced and concise explanation of a difficult topic.

[MrDJmxit]

Absolutely Brilliant. The whole animation and walkthrough was phenomenal. Thank you!

[mcperry_]

Atleast I'm learning something in Statistics now, thanks for the help!

[hamxahaxer]

why did I not find this video before? just AWESOME!

[BoZhaoengineering]

Fabulous! plain language and plain example. easy to follow.

[isabelalonso]

Amazing explanation! Thank you so much!

[sonia]

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[ShikuExploringLife]

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[laurafulani]

The best.... you make it easy to understand

[criscapilayan]

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[teddyw.charawa]

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[skyblue]

Very good video! It's really helpful

[gooddeedsleadto]

What is the formula to find the number of all possible samples of population=4?

Thanks.

Is there a formula that gives 16 as the answer as it is in this case when the size of the population is 4 and the number of possible samples of 4 is 16.

[osama_statimath]

Thank you
I search for sampling distribution for proportion, but I didn’t found it
Are you make the video for this lesson or not.
Thank a lot

[damarapellysathishreddy]

p(x>-0.5)=0.5+a(0.5).i think this is right