The Binomial and Poisson Distributions

If on average, 3 people enter a store every hour, what is the probability that over the next hour, 5 people will enter the store? The answer lies in the Poisson distribution. In this video you'll learn this distribution, starting from a much simpler one, the Binomial distribution.

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[xxelurraxx]

Thank you SO much. Especially for deriving the formula. I kept reading about how the Poisson distribution was the limiting case of the Binomial distribution, but didn't understand what people meant until now. Your graphics are amazing. Thank you for sharing your knowledge and putting so much work into this!

[zelalem]

Very brilliantly described. You refreshed my Maths (that I did long time ago) very nicely. Thank you very much.

[zazakh]

Thank you so much, it was exactly what I was looking for to completely understand the Poisson distribution

[shashankshekharsingh]

amazing, never saw someone explaning like this, thanks you

[sassydesi]

I came here based on Jay's shoutout in his Keynote video. And glad here. Your tuts are visually appealing. We'd love if you could give a quick walkthrough of how you got about using Keynote to make animations. Like your typical workflow and tips/tricks while using Keynote.

[prakashselvakumar]

Explained well! I understand that you have put lot of effort to make this video visually appealing and color coding. Thank you.

[jao]

Small improvement for the chapters: 11:08 is the start of the Poisson distribution.
Other than that, great as always:)

[leonnomos]

Excellent pedagogical approach! Clarified very much

[florentinosanchez]

Awesome explaining. Thank you so much for making this

[simeonthomas]

Great video as usual! Please also explain Geometric, Exponential, Weibull, Erlang, NBD etc. Thanks!

[piobr]

Absolutely high quality video! Thank you so much. ❤

[haikvoskerchian]

At 25:00 you said the fact that the poissonn distribution has 2 modes is an anomaly. But actually for every integer lambda, the poisson distribution has two modes. I wouldn't call that an anomaly.

[haushofer]

I like your videos a lot! Edit: removed confused question, solved it.

[_gunna]

4:26 "As N tends to infinity, the binomial distribution tends to the gaussian distribution, as per the CLT"
This is not true, as far as I can tell. It tends to the poisson distribution.
And the CLT is about the distribution of SAMPLE MEANS converging to a normal distribution as the number of sample means increases.

Makes me worried about things that I'm not catching