Data Science & Statistics Tutorial: The Poisson Distribution

[@365DataScience]

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[@nazifataha8868]

Wish you explained how the formula came about but nonetheless thank you for the visuals and clear explanation

[@farrys8487]

The croissant distribution

[@xash3000]

Hahahaha

[@kejnextdoor]

HAHAHAHAHA

[@moncboi8471]

lol

[@lee3929]

I can't focus anymore

[@kasala965]

this comment finally made it clear to me how to pronounce poisson properly.

[@a103yo]

Clear, simple and concise. Brilliant explanation. Very useful!!

[@365DataScience]

Glad it was helpful!

[@sanjeevb007]

5 minutes and i had it all...Thanks 365 Data Science.!!!

[@Apuscus]

Thank you so much! Such clear, coherently and simple explanation!

[@venus8331]

So underrated channel

[@ptrikha1]

Very well explained. These statistical methods' formulae take time to understand but this video makes them quite easier to understand.

[@jasonroggy4393]

your videos are interesting ! i like them ! its one of the best that i see

[@alishafii9141]

tanks a lot. I understand poisson concept completely

[@YatharthPatil_14]

Clear and Concise

[@rimed5718]

Very helpful, I like the clarity

[@bhaveshohal3390]

Thank you Sir, the video was good

[@masoudacademy1385]

thanks for explanation

[@alandent2434]

What is this "Yooler" of which you speak? Do you perhaps mean Euler (pronounced OY-lər)?

[@charleskidney4279]

Good video, cleared up a lot for me. However still lost on those formula's

[@heilapaulino7602]

So useful! Thank you.

[@jiminworkaholic82]

THANKS MY FRIEND😼

[@Theprime-1234]

could you make videos on this distributions Geometric Distribution Hypergeometric Distribution Negative Binomial Distribution Continuous Probability Distributions Uniform Distribution Exponential Distribution Laplace / double-sided exponential Cauchy Distribution Gamma Distribution Rayleigh Distribution Beta Distribution

[@naolgizaw8261]

Thank you man

[@smitshah8074]

thank you sir

[@AbdurahmanAlomrani]

Powerful tool

[@wallis5955]

Very well put together

[@aryaagrawal4889]

oh my god!!...you really rock!..loved this

[@Oceansteve]

useful video.. subscribed.

[@btbbbiologythebrainbuffer6012]

Helpful ✌✌🙏

[@Amit17utube]

What's the solution to the firefly problem? Is it .8% probability?

[@shrexy8095]

Brilliant!

[@rafe_seed]

thank you

[@yingzpiration]

Is there a reason why you uploaded 2 Poisson Dist video in your playlist? Or is Exponential Dist missing?

[@yavarjn2055]

We need to know where the equations come from.

[@raghuk1523]

Very useful 😃

[@АбеНиш]

What if I had example: First day there is 3 students asking question, second day there were 5 students asking question. Do i take lambda to be 4 (as average) ?

[@shritishaw7510]

aren't ya the same guy, who advertises for Simplilearn!?!? btw the content is very lucrative.

[@MatLICEABECERRILSANTIAGO]

are you gonna finish that (french accent) poisson?

[@hahaeggplanet12]

thank you!

[@infidos]

Can you please make the Probability Mass function and Probability density function videos.

[@scottsmith4006]

OILER It's pronounced "oiler," not "you-ler." That's my only complaint.

[@moncboi8471]

hahaha... I almost missed it

[@aiax742]

IT'S PRONOUNCED EULER

[@jooao_guerra]

Nice video! By the way, I tried to calculate the probability of a fly lighting 8 times in 20 seconds. I didn't know exactly how to do it so instead of lambda = 3 (3 lights/10 sec), I used lambda = 6 (6 lights/20 sec), which gives us a probability of 25.6%. Can anyone help me? Is it correct?

[@plasticflower]

Well, if you plug those values, λ=6 and y=8, you should get 10.32% as the chance for getting exactly 8 times or am I wrong? I checked with an online poisson calculator and it seems like 25.6% is the chance of getting 8 or more times in 20 seconds? What exact formula did you use? (All that is of course, assuming we can just scale 3/10 up to 6/20 which is an assumption I'm not sure is OK. I mean consider if we asked about the odds of getting 4 times in 10 seconds, where 3/10 was the expected value? We get around 16% so I'm not sure we can scale things up and down that way...)

[@jooao_guerra]

@@plasticflower Hi. Thanks for the reply (I don't remember which formula I used). By the way, are you a mathematician, a statistician or something like that? You seem to have some knowledge in the area, and I just happen to be struggling with another stathistical problem. Could you give me a brief help? I can explain it to you in detail in some of your videos' comment.

[@plasticflower]

@@jooao_guerra Hey, no I'm just taking a course on statistics at the moment, so I don't really have any deeper knowledge. But if there's another problem you could just post it here and maybe I can give you an idea or another angle? No promises though :P

[@sebastiankraust6236]

When given a rate, you scale it up to the desired unit of interest (in your case 20 seconds). Lambda is the expected value, so in a 20 second interval you would expect to see 6 occurences, therefore λ = 6. Then, Pr(X=8) = 0.103258. Source: en.wikipedia.org/wiki/Poisson_distribution#Probability_mass_function

[@keym3955]

Thank you.

[@tylersoblaskey154]

Le Poisson, Le Poisson! How I love Le Poisson, how I love little fishes don’t yoooooouuu ???

[@antonbreugel3332]

AMEN DUDE

[@AkulSamratbluechip]

Great

[@gauravjoshi3566]

nice

[@valots]

Now is right :)

[@TheGroundskeeper]

I know I’m a stickler guys, but any math person is going insane right now. I have to say it. It isn’t Yuler’s number. It’s Oiler’s number. Euler->Oiler. 🤬

[@randaya5854]

The only thing that you didn't nail is pronouncing Euler. It's pronouned as "oiler" not U-ler. But overall, I like the content.

[@hasannazarov4992]

Usefullll !!!!

[@oedhelsetren]

Euler is pronounced oy-ler not yu-ler.

[@bethanyellemusic.gospeljaz2529]

What did you just say???

[@Captinofthemudslayer]

how would you do this Say you started a KZbin channel about a year ago. You’ve done quite well so far and have collected some data. You want to know the probability of at least x visitors to your channel given some time period. The obvious choice in distributions is the Poisson distribution which depends only on one parameter, λ, which is the average number of occurrences per interval. We want to estimate this parameter using Maximum Likelihood Estimation. Simulate 100 visits to your youtube channel, assuming that they will a Poisson distribution with a mean of 10 visits per minute. Plot the arrival time vs visitor index.

[@memming]

Good stuff, but the pronunciation of 'Euler' is very wrong...

[@mathyouforgot]

i feel this video ended a bit early.

[@mukeshpant8669]

👍

[@scottlapier4797]

Is anyone else here after starting Gravity's Rainbow?

[@Gruemoth]

*Euler* is pronounced *Oi-ler* not *You-ler.* Great explanation otherwise

[@marwanalameri5344]

Where transition

[@NobdyInfinite]

*translation

[@TBoy205]

pronounces poisson correctly, can’t pronounce euler correctly

[@phenomenalphysics3548]

Where did the formula came from? Oh is this an engineering tutorial? Sorry for asking proof but please

[@dukashraj9693]

why use lamada and what mean

[@ThinkLikeaPhysicist]

I've got some videos on the Poisson distribution and its derivation, in case you're interested.

[@George-rq1yp]

half-backed explanation, not impressed at all