Joint Probability Distribution # 1 | Marginal Distributions & Expected Values
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- Опубликовано: 7 фев 2025
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Isn't the probabilities suppose to sum up to one and in the table the entries sum up to 25/24.
Konstantin Kotsev Please see my reply to this comment on "Part 2". I copied a number down wrong, you are indeed correct!
Thankyou for watching
exactly, what I was looking for.
Me also.....
Superb man superb i cant believe that its much easy ❤️
Thank you so much, exactly what I needed
Thanks dude, straight forward
Thank you so much for your help lot of appreciation 💕😊
good vid but you should use a proper example since probabilities cannot be more then one and the marginals should also add to 1. But still a very good video so thanks a lot
Thank you for posting
The probability sum is 25/24 greater than 1. Is it OK?
The units aren't in terms of a probability. "25/24" is in terms of the original events for X or Y. If you performed this experiment over and over, you'd get a value for Y somewhere around 25/24.
That marker is good asmr
This is not valid because they sum up to 25/24
Yh it’s supposed to sum up to 1
How did you come up with all the something/24 values in the table itself? That's what I was looking for, but I don't know under what name I can find it.
same. He kind of skipped the whole purpose of the video (if one looks at the video title)
It's been a couple of months since I learned this, but if I remember correctly:
For the top-left value (3/24) you calculate P(X=0)*P(Y=0). That's the scheme you use for all values. Then apply what was mentioned in the video to compute all of those. Hope that helped
why do we have two expected values
X and Y have their own distributions of values, so E(X) and E(Y) will take separate values
why you wrote 12/24 at 1:48 i thinkit should be 8/24 if i am not wrong
Hi, is marginal distribution samething as mean(x)?
Vedio telugu lo pettandi
the cringe of the marker sound