Visualizing a binomial distribution | Probability and Statistics | Khan Academy
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- Опубліковано 25 лис 2014
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Great video, but the fact that you erased all your scribble except for 1-ish pixel drove me nuts.
The giant middle finger of statistics
lol dude
ur handwriting/histogram drawing is very aesthetically pleasing
I can't help but admire that histogram :D
same here
And this shows the relationship between measure and probability. It’s wild how the limit of the area (a darboux sum) represented by the histograms of a binomial distribution as X = n goes to infinity, gives the graph of the normal distribution (or the slope at each point of the graph).
One the best courses I’ve ever followed, many thanks for the effort to make this simple
this was very helpful. great video and thank you!
Lucky to find ur video by the last mint before my exam. thx alot, it is clear as hell!
LOL did u pass i have mine 2morrow lmfao
@@ninokatsitadze6909 mine tomorrow lmao
Great Great Great Explanation. And I am not exaggerating to aggrandize Sal. Revealing many secrets behind Gaussian distributions and concepts related with it.
i'm a lecturer and somehow got assign to business statistics. you are life savior bro
Man! You are great! I have to confess!
Thank you so much I understand it now
I love the irony of sal saying he thinks computer drawn things lose their personality :D
2 to the power 5 possible outcomes, that's why :)
Thank you so much
hail mr khan savior of millions of students
Hey, hello Khan I have a question. What if I want to coerce the probability to be for example 3 Heads out of the 5 flips? How can I do that?
good question if u were helped please help me also
@@georgekangachepe7583 unfortunately no sir, I haven't been helped :/
okay brother but thank you for your response but if you have some questions concerning these different discrete random variables share me please
Exactly 3 heads is 5C3/32
is it correct?
@@legacies9041
prime number..
4:44 It looks like coin isn't the only thing that's being flipped here
Sal, you're a poor tutor. You assume too much.