List questions from conditional-probability

Published on 25 Mar 2026 - 23:07

36

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What is $\mathbb P(X\in A\mid Y\in B)$?

Published on 19 Apr 2019 - 20:44

2.2k

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how to calculate cumulative probability for dependent events?

Published on 19 Apr 2019 - 22:43

305

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Bayes Formula for more than 2 events

Published on 25 Mar 2026 - 23:10

297

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Cutting a rope randomly and taking the longer piece, cutting the longer piece and taking the shorter piece.

Published on 20 Apr 2019 - 17:08

25

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is it reasonable to consider a binomial random variable as a distribution conditional on a Bernoulli random variable?

Published on 21 Apr 2019 - 14:07

43

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Prove that $E[x | s, y] = b_0 + b_1 s + b_2 y$ for some constants $b_0$, $b_1$, and $b_2$.

Published on 21 Apr 2019 - 18:59

109

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Proving a that the arrival times of a Poisson process is uniformly distributed

Published on 26 Mar 2026 - 6:21

5.6k

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Find the conditional distribution of $X$ given that $Y=y$

Published on 23 Apr 2019 - 17:50

92

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Conditional Probability and Conditional Independence in Random Walk

Published on 26 Mar 2026 - 18:49

31

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How to find the probability of this $P(X=i, Y=j)$ with some conditional probabilities?

Published on 25 Apr 2019 - 18:42

94

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Law of iterated expectations, Binomial Dist.

Published on 26 Apr 2019 - 20:14

493

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Conditional Probability and Regular Conditional Probabilities

Published on 26 Apr 2019 - 23:49

47

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Number of trials depends on the number of successes in the previous period

Published on 27 Apr 2019 - 3:11

78

Views

Red and black balls (Pretty easy I think)

Published on 28 Apr 2019 - 19:58

List Question

Die roll and coin flip - Bayes' theorem

What is $\mathbb P(X\in A\mid Y\in B)$?

how to calculate cumulative probability for dependent events?

Bayes Formula for more than 2 events

Cutting a rope randomly and taking the longer piece, cutting the longer piece and taking the shorter piece.

is it reasonable to consider a binomial random variable as a distribution conditional on a Bernoulli random variable?

Prove that $E[x | s, y] = b_0 + b_1 s + b_2 y$ for some constants $b_0$, $b_1$, and $b_2$.

Proving a that the arrival times of a Poisson process is uniformly distributed

Find the conditional distribution of $X$ given that $Y=y$

Conditional Probability and Conditional Independence in Random Walk

How to find the probability of this $P(X=i, Y=j)$ with some conditional probabilities?

Law of iterated expectations, Binomial Dist.

Conditional Probability and Regular Conditional Probabilities

Number of trials depends on the number of successes in the previous period

Red and black balls (Pretty easy I think)

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