List questions from expectation

Published on 26 Aug 2014 - 15:31

183

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What is the mean and variance of $Y$, where $Y$ is sum of iid's

Published on 27 Aug 2014 - 3:21

35.1k

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Is it true in general that $E(1/X) = 1/E(X)$?

Published on 27 Aug 2014 - 12:14

1.6k

Views

What is the expected number of coin tosses needed to obtain a head?

Published on 27 Aug 2014 - 15:40

913

Views

Expected frequency of most frequent die roll

Published on 26 Mar 2026 - 13:02

46

Views

Basic question about conditional expectation

Published on 29 Aug 2014 - 11:36

284

Views

Calculation of Conditional Expectation

Published on 29 Aug 2014 - 17:48

59

Views

$E[(ae^x-b)^+]$, $X$ is $\mathcal{N}(0,1)$ distributed

Published on 30 Aug 2014 - 7:16

516

Views

Contradictory recursion

Published on 01 Sep 2014 - 3:22

64

Views

Expected number of 1's before a 6 shows up

Published on 01 Sep 2014 - 17:54

288

Views

Expectation of sum of $n$ random variables.

Published on 01 Sep 2014 - 21:00

4.6k

Views

Variables defined as floor and fraction part from exponentially distributed random variable

Published on 02 Sep 2014 - 10:02

152

Views

Expected value for geometric probability

Published on 02 Sep 2014 - 13:25

101

Views

Stuck during calculations to show that $\mathbb{E}e^{uX}=e^{u\mu + 0.5u^2\sigma^2}$ for normal random variable $X$

Published on 03 Sep 2014 - 9:41

252

Views

Calculation of the $n$-th moment of the normal distribution

Published on 03 Sep 2014 - 13:08

List Question

Why $E[X|\mathcal{G}]=X$ if $X$ is $\mathcal{G}$-measurable?

What is the mean and variance of $Y$, where $Y$ is sum of iid's

Is it true in general that $E(1/X) = 1/E(X)$?

What is the expected number of coin tosses needed to obtain a head?

Expected frequency of most frequent die roll

Basic question about conditional expectation

Calculation of Conditional Expectation

$E[(ae^x-b)^+]$, $X$ is $\mathcal{N}(0,1)$ distributed

Contradictory recursion

Expected number of 1's before a 6 shows up

Expectation of sum of $n$ random variables.

Variables defined as floor and fraction part from exponentially distributed random variable

Expected value for geometric probability

Stuck during calculations to show that $\mathbb{E}e^{uX}=e^{u\mu + 0.5u^2\sigma^2}$ for normal random variable $X$

Calculation of the $n$-th moment of the normal distribution

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