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!
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.
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.
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
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!
Very brilliantly described. You refreshed my Maths (that I did long time ago) very nicely. Thank you very much.
amazing , never saw someone explaning like this , thanks you
Thank you so much, it was exactly what I was looking for to completely understand the Poisson distribution
Explained well! I understand that you have put lot of effort to make this video visually appealing and color coding. Thank you.
Small improvement for the chapters: 11:08 is the start of the Poisson distribution.
Other than that, great as always:)
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.
Thanks!
Thank you so much for your contribution, Vaggelis! It’s really appreciated 😊
@@SerranoAcademy it was a great tutorial, glad I discovered your channel
Excellent pedagogical approach! Clarified very much
Great video as usual! Please also explain Geometric, Exponential, Weibull, Erlang, NBD etc. Thanks!
Absolutely high quality video! Thank you so much. ❤
Awesome explaining. Thank you so much for making this !!!!!❤
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.
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
Never seen better, awesome A+
Excellent explanation
Gracias Juancho!!!
amazed 🤯
amazing as usual!
I like your videos a lot! Edit: removed confused question, solved it.
zing zing amazing explanation !!!!
Excellent
Thank you! :)