i am shocked! i'm currently studying project management and one of the courses in my program is Quantitative analysis. The previous lecture we were studying Bayes theorem and the entire time i was confused. I knew i needed a tutor. up until now... you have a gift, you have a way of explaining such complex concepts in such an easy, intriguing fashion. I cant believe i understand this gibberish now! THANK YOU KHAN!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
Great one. Thanks to the graph in previous one I grasp the whole idea much easier. Just by looking to the graph I can tell that the percentage of 2s coin area prevail over the regular ones. And if you divide the area of 2s coin by whole area of event we looking for (5/5) it will be more than 50%. Which been proven in this vid.
Thanks for the video, but I wish you were more alert. Too many mistakes that just throw you off, doesn't help when you already cant pay attention to probability even if you really want to learn it. Love the DE videos though. :)
The next video in this probability series, essentially part 9, I think is entitled "Conditional Probability and Combinations", the one that's 16 minutes long.
Thanks you so much for these videos! And thanks so much for not using Venn Diagrams or just theory! My professor only rambles on about the theory and never talks about applications. I'd probably fail this class if it weren't for you. Pun intended.
I wish you could do some videos on probability theorem proof, some problems are a pain to prove! Also you could have illustrated this with ven diagrams, I think they are more intuitive and less confusing :) These 8 videos are great for people who are giving their first steps on probabilities, I recomend!
A little bit of thinking + Sal's explanation = total understanding! Thanks Sal, now I know how to use the box to solve conditional probability problems :)
For people who don't understand, I can tell you that it needs a little bit of thinking and intuition.
Look at the box again. to find p(2s | 5/5 H), we are gonna find the region inside the p(5/5H) which is caused by 2S coin, this essentially means that out of all coins result 5/5H, we want to find those coins that are 2S... and this coins are P(5/5H n 2S) which equals to P(5/5H | 2S) . P(2S)...
oh my goodness thank you for explaining the reason behind it. I haven't understood this concept all semester because I was just trying to memorize the formula
Sal, I appreciate the way you stress intuition as opposed to straight memorisation. By drawing the rectangle I saw the answer would be a ratio. Now I know the ratio is Bayes. Thanks
If you get 5/5 h, 12.8% if the time. 2.8% of the time this happens when you pick the norm coin. Bayes' theorm then says that if you get 5/5 heads you picked the norm. coin 78% of the time. That is interesting, but I am not immediately getting the relationship. It seems high, considering that since approx. 3% of time I get 5/5 heads is due to me picking the norm. coin, I can approx. 80% sure than when I due I've picked the norm. coin.
Let me repeat my last statement more clearly. It seem high that I can be approx. 80% (32/41) sure that when I do get 5/5 h, that I got it because I picked the normal coin, when only approx. 3% of the 12.8% of the time I do get 5/5 h happens when I picked the normal coin. How can this be?
I love this guy..you actually make studying fun:-)
Oyugi100 2 months ago
i am shocked! i'm currently studying project management and one of the courses in my program is Quantitative analysis. The previous lecture we were studying Bayes theorem and the entire time i was confused. I knew i needed a tutor. up until now... you have a gift, you have a way of explaining such complex concepts in such an easy, intriguing fashion. I cant believe i understand this gibberish now! THANK YOU KHAN!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
lucascg1 4 months ago
Great one. Thanks to the graph in previous one I grasp the whole idea much easier. Just by looking to the graph I can tell that the percentage of 2s coin area prevail over the regular ones. And if you divide the area of 2s coin by whole area of event we looking for (5/5) it will be more than 50%. Which been proven in this vid.
igortyulkanov 8 months ago
1 lost
paulceltics 9 months ago 3
i am totally gonna use this for my a level revision!!!!!
ofka8D 11 months ago
you are KUMAR!
dara1rock 11 months ago
nice video i understand thank you khan academy.
mgmanoj 1 year ago
thank you,God bless
dwigzo15 1 year ago
thank you
dwigzo15 1 year ago
Thanks a lot^^ This really help me in my final^^
Jackckw 1 year ago
YOU ARE AWESOME!!!!!!!
the probability of you teaching better than all the math teachers ive ever had before.... UNDEFINED!!!!!
i actually understand now!! thank you so much :D!
kevchern 1 year ago
Thanks for the video, but I wish you were more alert. Too many mistakes that just throw you off, doesn't help when you already cant pay attention to probability even if you really want to learn it. Love the DE videos though. :)
saionjik 1 year ago
The next video IS called Permuations, i just checked the playlist
matrixener 1 year ago
awesome! can't believe I had so much trouble with this... your visual representation helped to convey the theorem extremely well
fvrts 1 year ago
Brilliant.
Oh4Chrissake 1 year ago
Next video is Permutations, I think.
AdenoidHynkelThe2nd 1 year ago 10
Bayes theorem...hella freaking cool!!!
0001kd 1 year ago
It gets very existential at the end, lolz
HairLikeCottonCandy 2 years ago
Nice!
TheCriticalGouge 2 years ago
The next video in this probability series, essentially part 9, I think is entitled "Conditional Probability and Combinations", the one that's 16 minutes long.
treemantris 2 years ago
hello guys can some one tell me whats the name of (Probability part 9) video exact name please
yasir275 2 years ago
what is the name of the next vid ?????
Argel14 2 years ago 7
@Argel14 go to his website its all listed properly
nextblain 1 week ago
whats the next vid????
oxyman728 2 years ago 3
It would be great to know what level this work is suppose to be. Senior High School? University?
dalemillssydney 2 years ago
im having this in uni, undergrad lvl. (bachelor)
thelemur 2 years ago
im having it in calculas high school
mhsamsim 1 year ago
Thanks you so much for these videos! And thanks so much for not using Venn Diagrams or just theory! My professor only rambles on about the theory and never talks about applications. I'd probably fail this class if it weren't for you. Pun intended.
OddworldExodus 2 years ago
next video is not part 9 if you are looking :D
cheezcola 2 years ago 2
I wish you could do some videos on probability theorem proof, some problems are a pain to prove! Also you could have illustrated this with ven diagrams, I think they are more intuitive and less confusing :) These 8 videos are great for people who are giving their first steps on probabilities, I recomend!
DevastacaoTotal 2 years ago
Super ! Too good. Thanks for your videos.
jackalxyz123 2 years ago
A little bit of thinking + Sal's explanation = total understanding! Thanks Sal, now I know how to use the box to solve conditional probability problems :)
ose90 2 years ago
For people who don't understand, I can tell you that it needs a little bit of thinking and intuition.
Look at the box again. to find p(2s | 5/5 H), we are gonna find the region inside the p(5/5H) which is caused by 2S coin, this essentially means that out of all coins result 5/5H, we want to find those coins that are 2S... and this coins are P(5/5H n 2S) which equals to P(5/5H | 2S) . P(2S)...
P(2S | 5/5H)= P(5/5H n 2S) / P(5/5H) = p(5/5H | 2S). P(2S) / P(5/5H)
ose90 2 years ago
oh my goodness thank you for explaining the reason behind it. I haven't understood this concept all semester because I was just trying to memorize the formula
superheroesarereal 2 years ago
Sal, I appreciate the way you stress intuition as opposed to straight memorisation. By drawing the rectangle I saw the answer would be a ratio. Now I know the ratio is Bayes. Thanks
BroAbdul 2 years ago 2
Wonder video again!
markuc 2 years ago
brilliant example, and nice way to explain bayes theorem. thank you.
wiiooiiw 2 years ago
cool
Nanumir 3 years ago
If you get 5/5 h, 12.8% if the time. 2.8% of the time this happens when you pick the norm coin. Bayes' theorm then says that if you get 5/5 heads you picked the norm. coin 78% of the time. That is interesting, but I am not immediately getting the relationship. It seems high, considering that since approx. 3% of time I get 5/5 heads is due to me picking the norm. coin, I can approx. 80% sure than when I due I've picked the norm. coin.
Any help?
Roshibear 3 years ago
Let me repeat my last statement more clearly. It seem high that I can be approx. 80% (32/41) sure that when I do get 5/5 h, that I got it because I picked the normal coin, when only approx. 3% of the 12.8% of the time I do get 5/5 h happens when I picked the normal coin. How can this be?
Roshibear 3 years ago
? Don't understand what u are saying but, when u get 5/5, he says 80% chance that what u are holding is a 2 head coin, not normal coin.
diegoAmaradona 3 years ago
I think the probability of having 5/5 heads 1/10 * 9/32 in your previous video? =)
TheMstrLaw 3 years ago