Bernoulli, Binomial and Poisson Random Variables

Course Web Page: sites.google.c...
Detailed explanation of the Bernoulli random variable: drive.google.c...
Detailed explanation of the Binomial random variable: drive.google.c...
Detailed explanation of the Poisson random variable: drive.google.c...

[@iGudinosaur]

Absolutely the best explanation on CZcams

[@emmanuelchukwudi6721]

I wish this type of lecturer should be employed in Nigeria institutions

[@trashcanmatt]

i learned more here in 25 minutes than my actual teacher

[@laxmikantchitare3440]

Mere thank you is not enough. I have read so much text and seen many tutorials but never really understood what these distributions were all about. These 25 mins were the best in my learning. Taking those concepts one after the other in same context was the key I believe.

[@rogerLaxman]

I have been looking for this for last 5 years, simply the best !

[@user-bb4iu8bb6o]

Brilliant teaching, great pace, clear writing!

[@luisdias2452]

Beautiful teaching!!! I love it!!!

[@slcmathpc]

:-)

[@user-kp2uk3cg4g]

Thank you prof for the wonderful explanation. I study in Stanford; according to people our faculties are world class. However, I could not understand 1/10th of what I understood here.

[@hydromarlon4168]

I don't know how I stumbled across this video, but it was exactly what I was looking for. Thank you!

[@slcmathpc]

Serendipity!

[@maxzmalcom3992]

Really good stuff sir! This is the perfect tutorial I've been looking for all along

[@asadkhan-cz2zt]

awsm sir i wish u were my teacher . i was unable to learn this since two weeks but now i am clear alhamdulillah

[@user-ke9mh5wy8h]

the best explanation I've ever heard!Thank you!

[@alxbrooks]

i like the logical flow in explaining things. learning stats takes some bouncing around between topics until you start to understand that bernoulli is just 1 trial of a binomial experiment, and how to stitch all the concepts together.

[@postiveelectron8879]

Thank you sir, I like the way you put them all in one video with a neat explanation, and the way you pronounced poisson was perfect !

[@ninj4geek]

Your explanation of Bernoulli and Binomial were much better than what The Infinite Actuary does on their lesson A.4.2. Cheers.

[@oluwagbemisolaebini132]

Thanks for saving my grades. It's crystal clear

[@melody8457]

you are perfect on exam week! Thanks a lot ((((:

[@murtazahussain6301]

4 days of lectures each lecture is of 1.5 hours didn't get a single thing what was going on. Then I find this video

[@morolaseyeope-ewe6303]

Thank you so much. I have a test coming up on Friday, and I was so confused

[@pasanpawan1834]

you are such a beast!!! saved me from stat :D is it possible for you to make a playlist so its easier to find your videos. YOU ARE A GREAT TEACHER period

[@slcmathpc]

@108166390229272495374 You can find a link to my course web page (sites.google.com/view/slcmathpc/home ) where the videos are fully organized below every video that I have uploaded. Problem sheets are also available if you want to test your understanding. Cheers!

[@pasanpawan1834]

thank you very much sir

[@Movies-oy9mz]

Brock Lesnure is the only beast...alive

[@vishvard7887]

this man is doing god's work

[@rashmidmello7729]

very useful video, much learned better than lectures

[@neel_in_germany]

Exactly what I wanted... Thank you so much... So lucid and to the point...

[@thepranavshow]

excellent, clearly explained

[@cardflopper3307]

✓ explanation, ✓ pace. I would like to see you derive the Poisson RV

[@slcmathpc]

Prompted by your comment, I have just added the links to three documents in the description of this video. The third link should answer all your questions about the Poisson random variable. Let me know!

[@Munheca77]

you saved me man... Thank you so so much

[@arjunkadam71]

Nice knowledgeable video bro
Excellent work...
Please make playlists so that we can find videos by our interested subject..
Thank you 😇

[@slcmathpc]

Visit my web page sites.google.com/view/slcmathpc/home where everything is organized and problem sheets are also provided to test your understanding.
Cheer!

[@helbertrodriguez6449]

absolute legend

[@nishaswami6451]

Uh've cleared my all fundamental doubts😁

[@sunnylk6991]

Amazing explanation. Thank you!

[@princessnaomiakinboboye5464]

Thank you so much sir

[@Duwinddk]

This video was amazing. This helped me so much! Thank you.

[@navkaransingh3948]

BEST
EXPLANATION
Sir pls make a video on uniform , eexponential and gaussian(normal) random variable also

[@wareshakhan5740]

your explanation is very helpful sir.

[@danlenehan5998]

Great Video! Such an easy explanation.

[@nitindabadghav]

Wonderfully explained

[@poop222]

Thank you for this! Perfect explanation.

[@fahada1921]

Thanks man..
you are the best

[@veganath]

3:58 what is the average value or mean? Sorry I do not understand your explanation of why the mean is the probability of success, it seems especially counter intuitive with consideration given to a biased coin e.g. p(x=1) = 0.6. Thank you for the video.

[@Antr342]

Really helped me thanx! By the way. Its written "Λάμδα" so it's "Lamda" not "Lambda". Thank you for the video again.

[@jamesboumalhab7337]

Appreciate you g

[@clar331]

Thank you, super clear explanation

[@eminaker6080]

Awesome! Thanks a lot

[@chummyigbo8844]

Great explanation! Thanks a lot

[@marziehdo6788]

Thanks alot sir

[@nackyding]

Richard Feynman would be proud of you.

[@slcmathpc]

That is quite the compliment! I am not sure that I deserve it, but I appreciate the sentiment. Thank you. :-)

[@Harry254-h7]

Thanks teacher.keep it up!!!

[@g.u5865]

thanks! do you have a video explaining hypergeometric probability distribution?

[@kunjantrivedi9259]

thank you sir

[@snigdhsingh1142]

nicely explained

[@saltybrunette6974]

I didn't know Jerry Seinfeld knows poisson distribution, great explanation

[@darkhorizon1388]

Amazing

[@circuithead94]

Amazing stuff!!!! Thanks

[@s-jordannn2104]

Thanks for the video

[@Moraffy07]

This is fantastic!

[@mhmdmagdykhalil]

thankyou really helpful

[@mohamedkamel8183]

Thank you this awesome ,this video help my to understand binomial and poisson RV
I have question i cannot understand how you solve it in Binomial Question sheet
An oil prospector has $1000000 for prospection. Every well drilled for prospection costs$100000.
Moreover ,wells yield oil independently and data shows that they do so with a 5% probability.What
is the probability that:
(c) the prospector finds oil just before going broke;
(e) the prospector is successful for the third time on the eighth trial? i try to solve this with p(x=3)= 8C3 * (0.05)^3 * (0.95)^5 and the answer is wrong
I try to get the answer and fail to get the write answer
what the idea behind this questions
and thank you for helping

[@leonvonmoltke7923]

great video!!!

[@MinhVu-fo6hd]

For the Poisson experiment, neither P(X=x) nor lambda depend on time interval, right?
It is odd since the longer I wait, the higher probability that I observe x number of cars.

[@postiveelectron8879]

actually he said at 21:43 that the number of cars depends on the time interval, hence lambda and the probability of witnessing black cars are both affected

[@muhammadhaseebraza8976]

19:33 Poisson Random Variables

[@omarxxxxx]

thank you so very much

[@3abdo93]

you're the best :) thx alot

[@malithiddamalgoda8796]

Best explanation :D

[@wnualplaud2132]

Salute.

[@241lolololol]

In my probability book, the variance for bernoulli is p(1-p). is there any reason why you have it as sqrt(qp)?

[@slcmathpc]

You are incorrect; have another look. ;-)

[@241lolololol]

@@slcmathpc I figured it out! wasnt wrong, just in a different form.

[@thepianolover4ever]

thank you!!!

[@sahilpatel7612]

Amazing.

[@shroukel-attar5859]

Thank you!

[@panotsampas5080]

In combinations order does matter. How come you say it does not matter? 10:35

[@slcmathpc]

+Panagiotis Tsampas The order in which we choose the x successes out of the n trials does not matter, hence there are nCx ways of choosing x successes out of n trials.

[@kareng4120]

Wooooooow this is good

[@nkd02]

Thanks !

[@TyNyOne]

THANK YOU!!!

[@tamilarasanranigovinth1458]

Perfect👏

[@naa8439]

I don't understand why P (X=0) is 1/2?

[@slcmathpc]

Assuming the coin is fair, then P(X=0)=probability that the flipped coin lands on tails = 1/2, as there are two sides to the coin. This is assuming that you are referring to the first example

[@user-vx5rm3jr5z]

wha that nCn-x . what is c in the calculator

[@satadhi]

tht was amazing

[@MrAlb0t]

Thanks! :)

[@yagzyalcntas553]

until watching this i didnt even understand that i hadnt understood..

[@um.t.k]

Adam güzel anlatıyor ama Türkçe değil uhhh

[@joeblow4938]

too long winded