Question

Why is the standard deviation described as $\sqrt{pqn}$ sometimes and sometimes as $\sqrt{\frac{pq}{n}}$?

score 1.2k · Answer 1 · 2019-05-16 13:00:43

1.2k

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Why is the standard deviation described as $\sqrt{pqn}$ sometimes and sometimes as $\sqrt{\frac{pq}{n}}$?

Published on 16 May 2019 - 13:00

score 293 · Answer 2 · 2019-05-16 20:17:25

293

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Law of total covariance inequality

Published on 16 May 2019 - 20:17

score 81 · Answer 3 · 2019-05-18 02:04:17

81

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Difficult demonstration - How to show that $H_n$ is normal distributed $N(\xi,\sigma^2)$ starting from its moments $ξ$ and $σ$?

Published on 18 May 2019 - 2:04

score 809 · Answer 4 · 2026-03-26 09:40:25

809

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Rao-Blackwell and Cramer-Rao LB comparison

Published on 26 Mar 2026 - 9:40

score 207 · Answer 5 · 2026-03-26 03:11:08

207

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Find mean and variance from mgf where t is denominator

Published on 26 Mar 2026 - 3:11

score 25 · Answer 6 · 2019-05-19 17:51:03

25

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Finding the probability of success that maximizes the variance of independent trials

Published on 19 May 2019 - 17:51

score 40 · Answer 7 · 2026-03-27 19:33:40

40

Views

For a sequence of experiments where each $X$ is the number of trials until success with varying $p$, is each $X$ independent?

Published on 27 Mar 2026 - 19:33

score 535 · Answer 8 · 2019-05-21 09:51:38

535

Views

Can Conditional Expected Value be negative in normal distribution?

Published on 21 May 2019 - 9:51

score 33 · Answer 9 · 2019-05-21 11:40:48

33

Views

Proving convergence of expectation and variance given Rényi's $\alpha$-divergence tends to 0

Published on 21 May 2019 - 11:40

score 39 · Answer 10 · 2019-05-21 12:28:50

39

Views

Proving expectation and variance of a function of a random variable tends to a fix point

Published on 21 May 2019 - 12:28

score 111 · Answer 11 · 2026-03-26 20:16:59

111

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$Y = \frac{X_1 X_2}{X_3}$ where $X_i$ is a uniform random variable

Published on 26 Mar 2026 - 20:16

score 1.1k · Answer 12 · 2019-05-22 11:27:44

1.1k

Views

How to use the law of total variance

Published on 22 May 2019 - 11:27

score 2.1k · Answer 13 · 2026-03-26 11:18:25

2.1k

Views

How to calculate the bias of the estimator for variance?

Published on 26 Mar 2026 - 11:18

score 24 · Answer 14 · 2019-05-22 17:57:29

24

Views

Difference of normal random variables

Published on 22 May 2019 - 17:57

score 35 · Answer 15 · 2026-03-26 01:04:34

35

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DEMONSTRATION FINITE-SAMPLE PROPERTIES OF LEAST SQUARES $\frac{(N-k)S^2}{\sigma^2}\sim\chi^2[n-K]$

Published on 26 Mar 2026 - 1:04

List Question

Why is the standard deviation described as $\sqrt{pqn}$ sometimes and sometimes as $\sqrt{\frac{pq}{n}}$?

Law of total covariance inequality

Difficult demonstration - How to show that $H_n$ is normal distributed $N(\xi,\sigma^2)$ starting from its moments $ξ$ and $σ$?

Rao-Blackwell and Cramer-Rao LB comparison

Find mean and variance from mgf where t is denominator

Finding the probability of success that maximizes the variance of independent trials

For a sequence of experiments where each $X$ is the number of trials until success with varying $p$, is each $X$ independent?

Can Conditional Expected Value be negative in normal distribution?

Proving convergence of expectation and variance given Rényi's $\alpha$-divergence tends to 0

Proving expectation and variance of a function of a random variable tends to a fix point

$Y = \frac{X_1 X_2}{X_3}$ where $X_i$ is a uniform random variable

How to use the law of total variance

How to calculate the bias of the estimator for variance?

Difference of normal random variables

DEMONSTRATION FINITE-SAMPLE PROPERTIES OF LEAST SQUARES $\frac{(N-k)S^2}{\sigma^2}\sim\chi^2[n-K]$

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