Introduction to the Negative Binomial Distribution

[@jbstatistics]

Thanks for the kind words! I very much hope you find my videos helpful. Cheers.

[@FcBarcelonaKid]

Its actually unfair the amount of value you give in these videos. It took me 10 minutes (7 minutes + replaying some parts) to understand a topic, something my professor could never do. And even if I relied on the good old textbook, I still wouldn't understand it this quickly. God bless

[@jbstatistics]

I'm glad to be of help!

[@ghadaabu-sheasha4278]

You are amzing! There are two brilliant parts. The first one is 1:15 when you differentiate between binomial and negative binomial distributions. The second one when you show the distribution in a graph at the end of the video. VERY WELL DONE!!

[@jbstatistics]

+Ghada Elsayed Thanks!

[@usaTutor1]

I agree with the graph, very helpful to see the distribution graphically!

[@emadharazi5044]

I also agree. That was a perfect video

[@epicfilms4life507]

@@jbstatistics this cleared up so many things for me, i am forever grateful ToT

[@therockbottom2539]

These videos will go down in history as one of THE best GOATED stuff right there fr fr no cap ong. the explanation do be bussin respectfully

[@jbstatistics]

Thanks!

[@arunrao8643]

You Sir, are a legend.

[@jbstatistics]

Thanks!

[@followthepaper]

Sigma JB😅

[@jbstatistics]

Thanks Mohammed. I'm always glad to hear when people find my work useful. I'll definitely be keeping it up and adding videos. All the best.

[@aarushialreja2089]

I could not understand this from my stats textbook even after trying for 30 whole mins(even the formula didnt make much sense to me without proper explanation) and it only took me 7 mins to understand it so well here.. thanks for this honestly.

[@natedsamuelson]

1:00 "And if we're interested in the number of trials to get the... TWELFFTH success.." Lmao hidden gem

[@noon8681]

natedsamuelson LOL what was that lmaooo

[@unicornsandrainbowsandchic2336]

I nearly spit my coffee out when that happened hahahaha

[@MarcelBornancin]

LMAO

[@bamakaze]

This discrete probability is one of the least talked-about functions. You spell it out great! Thank you.

[@gabrielfitzpatrick484]

I cannot thank you enough for your videos. They are so helpful and are getting me through my stats class. Very clear and concise!

[@bobjohnson6946]

You've done what my professor and book couldn't. That is to make me understand this in 7mins!! xD

[@jbstatistics]

+BOB BOB You're welcome!

[@TrendRain]

man, i had to drop prob and stat class because i couldn't grasp the concept and here we are, crystal clear. Thank you

[@SonDVo]

I have never understood this concept until watching your video. Super clear and helpful!

[@jbstatistics]

I'm glad to be of help!

[@shreya4162]

the best video for this topic !!!! the formula in my book was very complex and here I found the simplest method to solve the question. thanks a lot

[@jbstatistics]

You're very welcome!

[@venkydk]

This is great..I went through several Edx ,they were so mathematical that we get lost.Your explanation helps to fundamentally build whats exactly needed for this topic..

[@anandraj6345]

I am watching this in 2022 and this video is still the most accurate and the best video on Negative binomial distribution or any topic u pick of statistics and probability. THANKS A LOT PROFESSOR! #luv_from_INDIA

[@eraludeck5516]

Your videos are at the rescue when strucked middle of any maths topic. 🙏 Hats off to your hard work.

[@muhammadazeemmohsin5666]

Watching the video after 10 years of upload and still getting benefit from this. Thanks for the clear explanation.

[@jbstatistics]

It's still good stuff :) Glad to be of help!

[@rushipatel5750]

Very well explained, all my confusion is gone. Thank you very much!

[@andrewagita901]

i love how u mix with humor to keep us focused

[@1712Mattman]

After 2 days of trying to figure out all the differences I finally understand. Thank you soooooooo much

[@jbstatistics]

You are welcome, and I'm glad to be of help. I hope your semester went well.

[@LOL-yn6xz]

Seriously, I have understood the concept of distribution after watching this video.And those graph is so helpful. Thank you so much sir....

[@jbstatistics]

I'm glad I could help you understand!

[@jbstatistics]

You're welcome! I try hard to be concise in my videos, while still getting the important points across. (So I like to hear that word!)

[@jbstatistics]

You're welcome, and thanks! Different strokes for different folks -- I'm sure some of my students leave the same comment on other youtube channels :)

[@d2d-status142]

It has been useful for me after 8 years. Thank you sir.

[@jbstatistics]

You are very welcome! I built them to last the test of time :)

[@carmineiuorio2638]

thanks a lot man, you saved me..you can't understand how useful your lessons are....keep goin!!!!

[@jbstatistics]

Thanks for the compliment! I'm glad I helped you see it. Cheers.

[@micho6108]

if i saw your video few months ago my grade would have been a lot better. Thank you so much.

[@srinivasanp.b9914]

You could even look at this way. For example, in the sum on telephone calls, you could simply model the problem as a binomial with X=2 and then multiply P(X=2) by 0.09 to get the answer !! Doing this might help you get an intuitive sense of the negative binomial distribution and what it hopes to achieve. Think about it !

[@JimbobFaz]

Great video, my book explains this way to fast and this really helped. I can see myself re watching these vids a lot before my module is over.

[@diyasharma96]

Superb stuff. Clean visuals, intuitive explanation, and helpful prods about potential misunderstandings. Some Ivy League professors struggle for hours to teach these concepts in a useful, unpretentious way, and then you come along and make it so easy that it can be digested in 5 minutes. For embarrassing some overpaid hacks of Harvard, you deserve a proposal of marriage or something.

[@Buhariys]

My semester is great thanks to u pls do keep up we need more selfless people like u

[@SunnyChopper]

The difference a good instructor makes. So glad I go to college while having access to KZbin. I feel bad for everyone who didn't.

[@jbstatistics]

I'm glad to be of help!

[@pasksuartha578]

Yes sir, I found ur video very useful for my students in University of Indonesia, Jakarta

[@beefandpotatoes6525]

Well explained. organized presentation, no waste of time. A natural teacher. Must be a well-organized person in life. Thank you.

[@leonardpatrol3805]

Your lecture is clearer than what my professor put on board. Thank you .

[@faracanthaceae4946]

The way you teach is frekkin AWESOME!!!

[@jbstatistics]

Thanks!

[@joebuty5317]

Great stand-alone video to learn about the negative binomial distribution.

[@BobRaichle]

An excellent explanation of this distribution. Very clear and easy to follow.

[@Machubacca]

Thank you very much, your videos are excellent! I learn the concepts much easier by you than by my professor!

[@48jackpotjohnny]

Excellent video! Explained very clearly and concisely. Thank you for taking the time to do this. I'm looking forward to watching many of your other videos, as I'm assuming it will make my future studying much easier. kudos to you for a job well done!

[@TimothyChenAllen]

Great explanation; I'm working through Hogg, McKean & Craig and could not understand how they arrived at the negative binomial pmf; seeing how you did it made it clear. Oddly enough, your explanation made clear to me how the text was explaining it the same way; I just couldn't see it.

[@nathankan3588]

my prof skipped this in probability theory, thank you so much u explained it so well

[@gabriel-braga-uc]

your videos are divine for stats undergrads

[@manellallem3523]

This explanation is sooo clear and precise thank you sir you are amazing

[@davidmwakima3027]

This is such a helpful video for building intuition about these distributions.

[@rsinha7066]

Wow, you make it look simple! You have a gift! Awesome.

[@pulkitahuja4750]

exceptional teaching style

[@陈明年]

You make this looks like Kindergarten Math, much appreciated.

[@shanemoe9098]

Excellent and clear step-by-step explanation. jbstatistics, Sir, you are amazing.

[@jbstatistics]

Thanks for the compliment!

[@narimanpashayev6309]

Your videos are really helpful and explain every detail precisely. I recently started learning statistics. it was very hard for me to understand and the digest the statistics concepts. But then I found your channel and I am very thankful to you :). I really appreciate your efforts here.

[@DespiteTheSpikes]

@ 6:19 How would you multiply the (10-1|3-1)*0.09^3?

[@DaffaAlifPratama]

the numbers in the parentheses is a combinatoric notation

[@sehermehta3671]

@@DaffaAlifPratama THANK YOU SO MUCH

[@jbstatistics]

You are very welcome. And thanks for the compliment!

[@shalybehemoth7006]

Oh my! I love your videos, but I was hoping to find out mean and variance of this distribution and there isn't. Thank you so much for your amazing explanation. Cheers.

[@jbstatistics]

I give the mean and variance at 4:19, just after discussing the pmf.

[@shahs427]

If Khan academy is the Walmart of learning videos, then you are the store that delivers the groceries straight to me! lol

[@jbstatistics]

Well, I do aspire to be better than the "Walmart of learning videos"!

[@In_De_Jo]

Khan academy does not cover quantity... it is slow.... this is fast .... good .... straight to the point

[@anipadimang5233]

Your explaination is so clear! Thankyou sir! It helps me a lot!

[@jbstatistics]

You are very welcom!

[@jbstatistics]

Because we're interested in the probability that the rth success occurs on exactly the xth trial. For this to happen, 1) the first x-1 trials must contain exactly r-1 successes and 2) the xth trial must be a success. To find the probability that in the first x trials there are r successes, where x is fixed, we'd use the binomial distribution. The probability that the rth success occurs on precisely the xth trial is less than the probability of getting r successes in x trials.

[@sivakundana1463]

thanks a bunch!!!you've made all the distributions really simple

[@julias.2712]

honestly, this helps so much. SO MUCH. Thank you SO MUCH

[@yusefalimam130]

this is the video. the one ive been looking for

[@raheelamughal1242]

May God give you immensely!❤

[@rodilrun9195]

Thank you sir.with the help of your teaching,l easily study the formula's sir

[@lhcoco94]

Great explanation, you’re a legend

[@desmondtwum1823]

Best impact I’ve ever experienced

[@BFMert]

I coded the diffrence between binomial and negative binomial in my mind as, like the diffrence between period and frequency. Thanks for the videos!

[@avinashdwivedi2015]

Thnks justin beiber statistics..i am gonna devour your all lectures.

[@yahuiz7877]

This video helps clarify a lot of confusions!!

[@jbstatistics]

I'm glad to be of help!

[@IldiHyka]

Where can I make a donation for the great work you have done?! I have watched all of your distribution video and I want to thak you infinitely. May God bless you and your family and keep doing what you are doing cause we need guys like you!!! ;)

[@Buhariys]

thank you so much man, u have been helpful through out my semester

[@22Tech]

good good stuff, i have a quiz today so you just saved me.

[@wallacechan2339]

Thank you very much. Very clear presentation.

[@asmitkumar8741]

Please keep uploading videos.. your videos are very helpful. Thanks...

[@jbstatistics]

You're welcome! Glad to be of help!

[@user-wr4yl7tx3w]

This is really well explained.

[@chloekimball536]

Please do videos on jointly distributed random variables. your videos are the only reason I am passing my prob class so far

[@meiirbekaidarbayev8202]

so good man. so understandable! keep the work up! wish u success in your academic life!

[@jbstatistics]

I'm glad I could help, and thanks for the kind words! All the best.

[@jbstatistics]

r is the number of successes, where each trial can be classified as either a success or a failure. r must be a positive whole number (1, 2, 3, ...).

[@maherjaber3700]

you saved my life. thank you

[@ShaarifSajid]

Your videos are extremely helpful! Thank you so much!

[@jbstatistics]

You are welcome!

[@jbstatistics]

I might answer questions to clarify a point on a video, but I don't answer other questions or help with homework or assignments. Cheers.

[@allhdmoviescene1294]

wow maths is beautiful when you really understood good

[@stinkypete95]

Very concise and informative! thanks!

[@mishaalnaeem6135]

You explain so well.

[@blackhawkLprince]

Great explanation. The video was clear in informative!

[@michaelliu6323]

Great lecture video! Thank you so much!

[@vzizpow7652]

i can't thank you enough god bless you❤

[@tahasilat7394]

In the formula sheet my professor provided, it says that the mean for negative binomail is equal to r(1 - p) / p. How come this formula is different from the one in the video, which is simply r / p

[@Jimt4728]

You are correct.

[@yasirkhatri79]

I was scratching my head for hours on this distribution, then i found your channel xD

[@shabbiransari9731]

Thanks for the explanation sir

[@B.A.Gondal]

AHAA! now i get the relationship between Geometric and Neg Bin Dist...thanksss

[@jbstatistics]

You are welcome!

[@allanabela2248]

Thank you so much for this video! Explained a lot.

[@jbstatistics]

You are very welcome Allan!

[@alfredoalarconyanez4896]

Thank you for this great video

[@Jetelametbienprofond]

Thank you very much for such a great explanation

[@jbstatistics]

You are very welcome!

[@HimalShrestha]

Great tutorial on Negative Binomial Distribution! Could you please also explain what is overdispersion parameter in Negative Binomial Distribution?

[@RaviShankar-jm1qw]

great explanation.. Would have been exemplary if the derivation of mean and variance would also have been shown.. But it's stellar nevertheless.. helped me understand the difference between binomial and negative binomial.

[@theunknown9708]

Great explanation, thanks lot.

[@saimallika7297]

Great explanation!!! Pls upload a video on beta and gamma distributions....

[@abhixkumar]

Extremely helpful!! thanks.

[@jbstatistics]

You are very welcome Abhishek! I'm glad I could be of help.

[@siddharthtalwar7304]

Thanks a lot, wicked teacher!

[@jbstatistics]

You are very welcome. Thanks for the compliment!