List questions from variance

Published on 13 Dec 2021 - 22:07

291

Views

Calculating the variance of the sum of $X_n$'s

Published on 06 Apr 2026 - 17:50

84

Views

Inequality for a sorted set

Published on 17 Dec 2021 - 18:07

54

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$f(X) = \mathbb{E}[Y|X]$ maximizes correlation coefficient $Cor(Y,f(X))$?

Published on 30 Mar 2026 - 14:38

59

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Law of total variance with i.i.d. positive continuous r.v.s.

Published on 18 Dec 2021 - 12:06

73

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What is the Variance of $(1-X)/X$ and the Expectation of $(1-X)/X^{2}$?

Published on 21 Dec 2021 - 18:42

90

Views

Prices Of Apples and Oranges Have Correlation $1$. What can you say about this process?

Published on 06 Apr 2026 - 19:32

70

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How to Calculate $\operatorname{Var}(X)$?

Published on 06 Apr 2026 - 19:32

109

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What's Wrong With My Calculation of $E[X]$?

Published on 27 Dec 2021 - 4:50

30

Views

Variance equivalences

Published on 27 Dec 2021 - 19:34

221

Views

How do you measure the 'explained variance' of arbitrary linear embeddings?

Published on 26 Mar 2026 - 12:35

26

Views

Normal distribution with shortened units

Published on 02 Apr 2026 - 18:21

50

Views

How to find the probability that the sample variance (given in the question below) is this low/lower when given the true population variance?

Published on 01 Apr 2026 - 20:30

183

Views

How to do multivariate analysis on data not normally distributed?

Published on 02 Apr 2026 - 10:41

78

Views

Show that the distribution of $X$ is like this:

Published on 04 Jan 2022 - 18:07

List Question

Chebyshev's inequality to find minimum

Calculating the variance of the sum of $X_n$'s

Inequality for a sorted set

$f(X) = \mathbb{E}[Y|X]$ maximizes correlation coefficient $Cor(Y,f(X))$?

Law of total variance with i.i.d. positive continuous r.v.s.

What is the Variance of $(1-X)/X$ and the Expectation of $(1-X)/X^{2}$?

Prices Of Apples and Oranges Have Correlation $1$. What can you say about this process?

How to Calculate $\operatorname{Var}(X)$?

What's Wrong With My Calculation of $E[X]$?

Variance equivalences

How do you measure the 'explained variance' of arbitrary linear embeddings?

Normal distribution with shortened units

How to find the probability that the sample variance (given in the question below) is this low/lower when given the true population variance?

How to do multivariate analysis on data not normally distributed?

Show that the distribution of $X$ is like this:

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