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Can anyone help me solve this problem on probability ?

score 846 · Answer 1 · 2026-03-28 22:25:22

846

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Can anyone help me solve this problem on probability ?

Published on 28 Mar 2026 - 22:25

score 59 · Answer 2 · 2026-03-28 22:28:02

59

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Can someone clarify this doubt of mine, regarding calculation of average for a probability distribution?

Published on 28 Mar 2026 - 22:28

score 254 · Answer 3 · 2026-03-26 21:26:14

254

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Expected number of wins in the next draw

Published on 26 Mar 2026 - 21:26

score 259 · Answer 4 · 2017-02-24 22:04:51

259

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Given a PMF, find $E[\frac 1x]$?

Published on 24 Feb 2017 - 22:04

score 246 · Answer 5 · 2017-02-25 09:06:41

246

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Is it true that taking expectation twice over the same distribution equals to 0?

Published on 25 Feb 2017 - 9:06

score 73 · Answer 6 · 2026-04-01 00:12:49

73

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Inequality of variances

Published on 01 Apr 2026 - 0:12

score 226 · Answer 7 · 2017-02-26 20:04:53

226

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Expected value of maximum of discrete and continuous random variable

Published on 26 Feb 2017 - 20:04

score 46 · Answer 8 · 2017-02-27 15:29:54

46

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Expectation of $\frac{X_1}{\sqrt{X_1^2+\cdots+X_n^2}}$ is $0$ if $E(X_1)=0$ and random variables are i.i.d

Published on 27 Feb 2017 - 15:29

score 384 · Answer 9 · 2026-03-29 19:11:23

384

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Expectation of a quadratic form of Bernoulli random variables

Published on 29 Mar 2026 - 19:11

score 209 · Answer 10 · 2026-03-26 19:19:35

209

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A card grouping game: find the expected number of groups

Published on 26 Mar 2026 - 19:19

score 1.9k · Answer 11 · 2017-03-02 13:01:09

1.9k

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Roulette: Expected value for "double up" strategy and infinite many games

Published on 02 Mar 2017 - 13:01

score 714 · Answer 12 · 2017-03-02 14:24:00

714

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Partial expectation with indicator function

Published on 02 Mar 2017 - 14:24

score 90 · Answer 13 · 2017-03-02 20:32:21

90

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Prove that for any random variable Z taking values in the range {1, 2, 3, . . .}, E(Z) = (Σ from i = 1 to infinity) P(Z ≥ i)?

Published on 02 Mar 2017 - 20:32

score 43 · Answer 14 · 2017-03-03 12:45:34

43

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Proof expectation $E[(X-Y)1_{\{X>a\}}]=E[(X-Y)1_{\{Y>a\}}]=0$

Published on 03 Mar 2017 - 12:45

score 83 · Answer 15 · 2017-03-04 04:56:27

83

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$W$ is binary R.V. and $Y= W\cdot Y_1 + (1-W)Y_0$, where $Y_1, Y_0$ are also R.V.s. Does $E[W\cdot Y]= E[W\cdot Y_1]$?

Published on 04 Mar 2017 - 4:56

List Question

Can anyone help me solve this problem on probability ?

Can someone clarify this doubt of mine, regarding calculation of average for a probability distribution?

Expected number of wins in the next draw

Given a PMF, find $E[\frac 1x]$?

Is it true that taking expectation twice over the same distribution equals to 0?

Inequality of variances

Expected value of maximum of discrete and continuous random variable

Expectation of $\frac{X_1}{\sqrt{X_1^2+\cdots+X_n^2}}$ is $0$ if $E(X_1)=0$ and random variables are i.i.d

Expectation of a quadratic form of Bernoulli random variables

A card grouping game: find the expected number of groups

Roulette: Expected value for "double up" strategy and infinite many games

Partial expectation with indicator function

Prove that for any random variable Z taking values in the range {1, 2, 3, . . .}, E(Z) = (Σ from i = 1 to infinity) P(Z ≥ i)?

Proof expectation $E[(X-Y)1_{\{X>a\}}]=E[(X-Y)1_{\{Y>a\}}]=0$

$W$ is binary R.V. and $Y= W\cdot Y_1 + (1-W)Y_0$, where $Y_1, Y_0$ are also R.V.s. Does $E[W\cdot Y]= E[W\cdot Y_1]$?

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