Question

Find the mean in a normal distribution

score 54 · Answer 1 · 2026-04-01 00:55:15

54

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Find the mean in a normal distribution

Published on 01 Apr 2026 - 0:55

score 134 · Answer 2 · 2026-04-09 02:53:08

134

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Probability of full house with x cards

Published on 09 Apr 2026 - 2:53

score 115 · Answer 3 · 2026-03-25 07:14:02

115

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Does arbitrary reweighting of the mass function of a random variable produces a well-defined probability space?

Published on 25 Mar 2026 - 7:14

score 131 · Answer 4 · 2026-04-01 06:39:26

131

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Relation between mass function and probability density function

Published on 01 Apr 2026 - 6:39

score 1k · Answer 5 · 2026-03-25 09:25:01

1k

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Probability: Combination and Permutation in Chess

Published on 25 Mar 2026 - 9:25

score 73 · Answer 6 · 2026-03-26 09:19:43

73

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Probability for a specific normally distributed random variable to be the largest of a set of such random variables

Published on 26 Mar 2026 - 9:19

score 354 · Answer 7 · 2026-04-10 04:13:56

354

Views

Conditional probability over two different $\sigma$-algebra

Published on 10 Apr 2026 - 4:13

score 141 · Answer 8 · 2026-04-09 03:00:11

141

Views

Proof by probabilistic method for coins on chessboard puzzle

Published on 09 Apr 2026 - 3:00

score 62 · Answer 9 · 2026-03-25 01:30:09

62

Views

Maximum of uniformal idd random variables involving the Gamma function

Published on 25 Mar 2026 - 1:30

score 1.2k · Answer 10 · 2026-04-09 00:06:43

1.2k

Views

Bounding $\text{Var}[X+Y]$ as a function of $\text{Var}[X]+\text{Var}[Y]$

Published on 09 Apr 2026 - 0:06

score 431 · Answer 11 · 2026-04-09 03:40:32

431

Views

1 Biased Coin and 1 Fair Coin, probability of 3rd Head given first 2 tosses are head?

Published on 09 Apr 2026 - 3:40

score 116 · Answer 12 · 2026-04-10 13:26:54

116

Views

Probability and Set Theory

Published on 10 Apr 2026 - 13:26

score 72 · Answer 13 · 2026-04-06 15:48:35

72

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What is the pdf of g(x,y) were x and y are two random variables from a uniform distribution?

Published on 06 Apr 2026 - 15:48

score 63 · Answer 14 · 2026-03-26 09:16:31

63

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Given a random sample of $n$ random variables $X_i$ why is $E[X_i] = \mu$?

Published on 26 Mar 2026 - 9:16

score 52 · Answer 15 · 2026-03-25 03:02:46

52

Views

If I have a vector of $N$ correlated probabilities. How can I turn them into binary $0,1$ without destroying the correlation?

Published on 25 Mar 2026 - 3:02

List Question

Find the mean in a normal distribution

Probability of full house with x cards

Does arbitrary reweighting of the mass function of a random variable produces a well-defined probability space?

Relation between mass function and probability density function

Probability: Combination and Permutation in Chess

Probability for a specific normally distributed random variable to be the largest of a set of such random variables

Conditional probability over two different $\sigma$-algebra

Proof by probabilistic method for coins on chessboard puzzle

Maximum of uniformal idd random variables involving the Gamma function

Bounding $\text{Var}[X+Y]$ as a function of $\text{Var}[X]+\text{Var}[Y]$

1 Biased Coin and 1 Fair Coin, probability of 3rd Head given first 2 tosses are head?

Probability and Set Theory

What is the pdf of g(x,y) were x and y are two random variables from a uniform distribution?

Given a random sample of $n$ random variables $X_i$ why is $E[X_i] = \mu$?

If I have a vector of $N$ correlated probabilities. How can I turn them into binary $0,1$ without destroying the correlation?

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