Joint Probability Distribution # 2 | Conditional Probability Distribution, Independence

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I dont understand how you got 2/8, 5/8 ect... you said it is likely to happen 3 times...omitting this..that.. can you please explain? thanks

thiesus
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I think there may be an error with the problem. When I add all the probabilities on the table, they sum to 25/24. Aren't they supposed to sum to one?

samyakshah
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I didn't undestand how u are getting those values, 2/8, 5/8, 1/8, please do another one and explain better

catherinemusau
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thanks for this video its really helpful. however; i dont understand the part where you divided the denominator of 6/24 by 3 what is the reason for that and if y was = 2 what would you do?

mamadoujallow
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There is a slight mistake in the explanation. We get the conditional distribution of P(X=x|Y=1) by normalizing the x values for Y=1 i.e., divide each entry of x for Y=1 by the column sum which in this case is (1/3). So (2/24)/(1/3) = 2/24 etc etc

sanjaykrish
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why the title of the video is Joint Probability while the video is about conditional probability? Thanks

hype_henry_it
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Hi thanks for the video, what would you do if you were asked for the P(X+Y <= 1)? Thanks

ciarawalsh
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It would be more simplistic to do: P(X = x) / g (y) = P (X = x | y = 1), or in number language: (2/24)/(8/24) = 1/4

ReinierRuneScape
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where is the previous example? i cant find it

lawrenceedemzikpi
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will anyone could answer my assignment about multivariate probability but i cant attach here the assignment

nokya
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the sound is not good I am quite disappointed

linhtruong