Question

In the context of Normal distribution, could $\mu$ and $\sigma$ be any value, such as $10^{-99}, 10^{-100}$, or even $\infty$, $-\infty$?

score 48 · Answer 1 · 2019-10-05 04:10:55

48

Views

In the context of Normal distribution, could $\mu$ and $\sigma$ be any value, such as $10^{-99}, 10^{-100}$, or even $\infty$, $-\infty$?

Published on 05 Oct 2019 - 4:10

score 73 · Answer 2 · 2019-10-05 09:11:55

73

Views

Is it possible to plot a normal distribution with $\sigma=\frac{1}{100}$ to give some geometric interpretation?

Published on 05 Oct 2019 - 9:11

score 260 · Answer 3 · 2019-10-05 19:53:04

260

Views

How to find standard deviation with ONLY sample size?

Published on 05 Oct 2019 - 19:53

score 87 · Answer 4 · 2026-03-29 10:29:40

87

Views

$Y = |X|$, where $X \sim \text{N}(\mu, \sigma^2)$: How does the PDF and CDF change?

Published on 29 Mar 2026 - 10:29

score 17 · Answer 5 · 2026-03-16 07:25:33

17

Views

Influence of correlation of 2 or more normally distributed variables.

Published on 16 Mar 2026 - 7:25

score 190 · Answer 6 · 2026-03-25 23:35:00

190

Views

Borel Cantelli Problem - Normal Random Variables

Published on 25 Mar 2026 - 23:35

score 138 · Answer 7 · 2026-03-27 15:17:52

138

Views

I do not understand the concept of population standard deviation in sampling distribution.

Published on 27 Mar 2026 - 15:17

score 38 · Answer 8 · 2026-03-26 23:11:14

38

Views

Cramér’s theorem: sum of independent Normals

Published on 26 Mar 2026 - 23:11

score 30 · Answer 9 · 2026-03-25 06:58:56

30

Views

Is this the right equation to compute the likelihood of a normal distribution at a point?

Published on 25 Mar 2026 - 6:58

score 125 · Answer 10 · 2019-10-12 11:55:27

125

Views

How to calculate the following probability of X being odd?

Published on 12 Oct 2019 - 11:55

score 74 · Answer 11 · 2026-03-29 21:36:06

74

Views

how to show that this has covariance $0$

Published on 29 Mar 2026 - 21:36

score 3.7k · Answer 12 · 2026-03-29 21:39:27

3.7k

Views

Covariance matrix of three random variables

Published on 29 Mar 2026 - 21:39

score 63 · Answer 13 · 2026-03-29 21:39:27

63

Views

Covariance of normal random variables with different mean

Published on 29 Mar 2026 - 21:39

score 32 · Answer 14 · 2019-10-14 16:59:30

32

Views

Distribution conditional on the Sum of IID Normals

Published on 14 Oct 2019 - 16:59

score 462 · Answer 15 · 2026-04-01 04:25:29

462

Views

Why is the expected value of the truncated normal distribution $E(x|x>a) = \mu + \sigma \frac{\phi(\alpha)}{1 -\Phi(\alpha)}$?

Published on 01 Apr 2026 - 4:25

List Question

In the context of Normal distribution, could $\mu$ and $\sigma$ be any value, such as $10^{-99}, 10^{-100}$, or even $\infty$, $-\infty$?

Is it possible to plot a normal distribution with $\sigma=\frac{1}{100}$ to give some geometric interpretation?

How to find standard deviation with ONLY sample size?

$Y = |X|$, where $X \sim \text{N}(\mu, \sigma^2)$: How does the PDF and CDF change?

Influence of correlation of 2 or more normally distributed variables.

Borel Cantelli Problem - Normal Random Variables

I do not understand the concept of population standard deviation in sampling distribution.

Cramér’s theorem: sum of independent Normals

Is this the right equation to compute the likelihood of a normal distribution at a point?

How to calculate the following probability of X being odd?

how to show that this has covariance $0$

Covariance matrix of three random variables

Covariance of normal random variables with different mean

Distribution conditional on the Sum of IID Normals

Why is the expected value of the truncated normal distribution $E(x|x>a) = \mu + \sigma \frac{\phi(\alpha)}{1 -\Phi(\alpha)}$?

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