im not exactly sure. its about the scope of the values you have. i think if its a number of events PER greater event, you use the poisson. like number of typos PER page in a book. or number of craters PER square mile of the moon. or number of car accidents PER road in manhattan.
Nice production, although I find it a bit irritating that you've represented a discrete function with a continuous graph (implying that you could read off a meaningful probability for an outcome of, say, "1.5"), rather than using bars for each value.
I just sat for two hours in class watching this shite, confused as shite and you managed to explain it and make me understand it in the first 3min. I was loosing all hope until now, you the man.
Incredibly helpful video! Thanks for your time!
UseLogicPlease123 4 months ago
Thanks very much for an excellent explanation. Really helpful.
ManLondon 9 months ago
You should really explain how you got the lamda number 5 in the first problem...
faYte0607 1 year ago
@faYte0607 lamda = n * p
n=100
p=0.05
tdkyun 8 months ago
your explanation made me so confortable for this distriibution.
hirokame2009 1 year ago
Best explain had ! Thanks
pavljiks13 1 year ago
You are amazing. I wish you were my Professor.
Squidzu 2 years ago
Hey, I just wanted to know when I should use the Poisson, and when I should use the Counting Rules for Combination? Or are they the same?
I found that they give about the same value: though I could be doing them both wrong.
Does anyone know?
EntreMind 2 years ago
im not exactly sure. its about the scope of the values you have. i think if its a number of events PER greater event, you use the poisson. like number of typos PER page in a book. or number of craters PER square mile of the moon. or number of car accidents PER road in manhattan.
LucaToniIsMeinPapa 2 years ago
Given that we're examining 100 objects it wouldn't be .05 of those. It would be 5.
CaptainCrunchOwns 2 years ago
is'nt it 0.05? why 5? it s a percentage
A11RAN 2 years ago
Thank you.
lukeddekul 2 years ago
VERY WELL
ElPIBELEO 2 years ago
Excellent production. Thank you very much.
Longbow622 2 years ago
Nice production, although I find it a bit irritating that you've represented a discrete function with a continuous graph (implying that you could read off a meaningful probability for an outcome of, say, "1.5"), rather than using bars for each value.
pugnoseface 2 years ago 2
how the fuck do you work out this shit on a Casio calculator? whats this e all about?
MonkeyMagic089 2 years ago
Good education on the concept of poisson distribution
svtuition 3 years ago
awesome thanks!!!!!!!!!!
eckhardm 3 years ago
I just sat for two hours in class watching this shite, confused as shite and you managed to explain it and make me understand it in the first 3min. I was loosing all hope until now, you the man.
derekmcgoldrick 3 years ago
thank you
Nanumir 3 years ago
Thank you for taking the time to do this...really
marisatubes 3 years ago
Thanks a bunch!! Really.. And keep up the good work..
shaveensk 3 years ago
hey thanks alot, saved me from failing math
menergy147 3 years ago
how can I get X from this equation?
delican 3 years ago
you seriously just saved my life! i love youuu!!!
aritchierb 3 years ago
Thank u very much !!!
Kaplank89 3 years ago