Thank you! It is the only derivation I found exact through whole search. Thank you!! My happiness!!
@bretobrien1703
8 жыл бұрын
This was an absolutely perfect explanation. I have been looking for something like this for awhile. Thanks!
@EngineerClearly
8 жыл бұрын
+Bret OBrien Thank you!
@felixoptikqualla1550
2 жыл бұрын
Well, I've watched other videos to this topic before. So tbt, I didn't got in touch with the derivation for the first time, but it made klick. Very intuitive, this helped alot to get a sense of the formula, thx.
@armgor
8 жыл бұрын
nice! Poisson distribution demystified. Thank you. Text book just throws an equation at you
@AshisKumarSahoo1
8 жыл бұрын
That was crystal clear. Thanks!
@BeatTheHeat1212
8 жыл бұрын
You can prove that the limit equals e using natural logarithm properties and l'hospitals rule from calculus.
@florentinosanchez3969
5 ай бұрын
VERY NICE VIDEO, THANK YOU SO MUCH❤
@silleviuf
11 жыл бұрын
I love you right now! needed that for an assignment..
@manishagkol
12 жыл бұрын
Great Video with very clear explanation.
@challakishore6975
8 жыл бұрын
thank you very much.that is a clear explanation.
@dbzlegends767
10 жыл бұрын
excellent work
@bakunin888
9 жыл бұрын
nice and clear, thanks.
@sunn1907
11 жыл бұрын
Good Work!!
@amesoelje
6 жыл бұрын
Great explanation but why did you take (1- 1/1000000)^1000000 to the power of -1? i get that we then get e^-lambda but why did you do that in first place?
@flaviaawan6297
5 жыл бұрын
at 8:31 , why did he take negative power?
@octale9445
10 жыл бұрын
That was a good explanation. Everything makes sense to me except for the fact that you said that ∞ /∞ = 1 but isn't it an indeterminate form?
@EngineerClearly
11 жыл бұрын
Thanks!
@vrj97
9 жыл бұрын
Can someone explain to me why we take the limit as n goes to infinity?
@modemanslutning
8 жыл бұрын
+vrj97 This distribution is for when you have MANY experiments and a small probability of successful outcome of each experiment. If we can use an arbitrary large amount of experiments, then this distribution is best shown if we take our arbitrary amount to mean infinitely many experiments.
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