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.
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.
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.
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
@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!
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!
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!
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.
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.
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
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
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
+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.
Absolutely the best explanation on TH-cam
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.
i learned more here in 25 minutes than my actual teacher
I wish this type of lecturer should be employed in Nigeria institutions
I have been looking for this for last 5 years, simply the best !
Brilliant teaching, great pace, clear writing!
Really good stuff sir! This is the perfect tutorial I've been looking for all along
I don't know how I stumbled across this video, but it was exactly what I was looking for. Thank you!
Serendipity!
the best explanation I've ever heard!Thank you!
Beautiful teaching!!! I love it!!!
:-)
awsm sir i wish u were my teacher . i was unable to learn this since two weeks but now i am clear alhamdulillah
this man is doing god's work
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.
Thanks for saving my grades. It's crystal clear
Your explanation of Bernoulli and Binomial were much better than what The Infinite Actuary does on their lesson A.4.2. Cheers.
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 !
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.
you are perfect on exam week! Thanks a lot ((((:
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
Thank you so much. I have a test coming up on Friday, and I was so confused
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
@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!
thank you very much sir
Brock Lesnure is the only beast...alive
Thank you so much sir
Exactly what I wanted... Thank you so much... So lucid and to the point...
excellent, clearly explained
very useful video, much learned better than lectures
you saved me man... Thank you so so much
✓ explanation, ✓ pace. I would like to see you derive the Poisson RV
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!
This video was amazing. This helped me so much! Thank you.
Nice knowledgeable video bro
Excellent work...
Please make playlists so that we can find videos by our interested subject..
Thank you 😇
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!
absolute legend
Amazing explanation. Thank you!
Uh've cleared my all fundamental doubts😁
your explanation is very helpful sir.
Great Video! Such an easy explanation.
Wonderfully explained
Thanks man..
you are the best
Thank you for this! Perfect explanation.
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.
BEST
EXPLANATION
Sir pls make a video on uniform , eexponential and gaussian(normal) random variable also
Thank you, super clear explanation
Great explanation! Thanks a lot
Awesome! Thanks a lot
Richard Feynman would be proud of you.
That is quite the compliment! I am not sure that I deserve it, but I appreciate the sentiment. Thank you. :-)
thanks! do you have a video explaining hypergeometric probability distribution?
Thanks teacher.keep it up!!!
This is fantastic!
Appreciate you g
Really helped me thanx! By the way. Its written "Λάμδα" so it's "Lamda" not "Lambda". Thank you for the video again.
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.
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
Amazing stuff!!!! Thanks
Thanks alot sir
In my probability book, the variance for bernoulli is p(1-p). is there any reason why you have it as sqrt(qp)?
You are incorrect; have another look. ;-)
@@slcmathpc I figured it out! wasnt wrong, just in a different form.
great video!!!
Best explanation :D
I didn't know Jerry Seinfeld knows poisson distribution, great explanation
nicely explained
19:33 Poisson Random Variables
you're the best :) thx alot
Thanks for the video
thank you sir
thank you so very much
thankyou really helpful
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
wha that nCn-x . what is c in the calculator
I don't understand why P (X=0) is 1/2?
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
Amazing
Salute.
Thank you!
In combinations order does matter. How come you say it does not matter? 10:35
+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.
thank you!!!
until watching this i didnt even understand that i hadnt understood..
THANK YOU!!!
Amazing.
Wooooooow this is good
Thanks !
tht was amazing
Perfect👏
Thanks! :)
Adam güzel anlatıyor ama Türkçe değil uhhh
too long winded