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!
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.
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!
+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.
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
Absolutely the best explanation on UA-cam
i learned more here in 25 minutes than my actual teacher
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 wish this type of lecturer should be employed in Nigeria institutions
I have been looking for this for last 5 years, simply the best !
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!
Brilliant teaching, great pace, clear writing!
awsm sir i wish u were my teacher . i was unable to learn this since two weeks but now i am clear alhamdulillah
the best explanation I've ever heard!Thank you!
Beautiful teaching!!! I love it!!!
:-)
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 !
you are perfect on exam week! Thanks a lot ((((:
Thanks for saving my grades. It's crystal clear
Thank you so much. I have a test coming up on Friday, and I was so confused
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.
this man is doing god's work
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.
Your explanation of Bernoulli and Binomial were much better than what The Infinite Actuary does on their lesson A.4.2. Cheers.
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
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
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.
Exactly what I wanted... Thank you so much... So lucid and to the point...
you saved me man... Thank you so so much
This video was amazing. This helped me so much! Thank you.
excellent, clearly explained
absolute legend
Thank you so much sir
very useful video, much learned better than lectures
✓ 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!
Uh've cleared my all fundamental doubts😁
Great Video! Such an easy explanation.
Amazing explanation. 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!
Thanks man..
you are the best
Thank you for this! Perfect explanation.
@16:49, why the
v[X subi]=p*q
Thanks.
your explanation is very helpful sir.
Wonderfully explained
BEST
EXPLANATION
Sir pls make a video on uniform , eexponential and gaussian(normal) random variable also
thanks! do you have a video explaining hypergeometric probability distribution?
Really helped me thanx! By the way. Its written "Λάμδα" so it's "Lamda" not "Lambda". Thank you for the video again.
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.
Great explanation! Thanks a lot
Thank you, super clear explanation
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
Awesome! Thanks a lot
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.
This is fantastic!
Thanks teacher.keep it up!!!
Appreciate you g
wha that nCn-x . what is c in the calculator
Amazing stuff!!!! Thanks
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
great video!!!
I didn't know Jerry Seinfeld knows poisson distribution, great explanation
Best explanation :D
you're the best :) thx alot
Thanks alot sir
nicely explained
Thanks for the video
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. :-)
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
thankyou really helpful
thank you sir
thank you!!!
thank you so very much
Perfect👏
Wooooooow this is good
Thank you!
Salute.
Amazing.
THANK YOU!!!
until watching this i didnt even understand that i hadnt understood..
tht was amazing
Thanks !
Thanks! :)
Adam güzel anlatıyor ama Türkçe değil uhhh
too long winded