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Constructing a confidence interval for population variance

score 1.8k · Answer 1 · 2026-02-25 16:39:19

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Constructing a confidence interval for population variance

Published on 25 Feb 2026 - 16:39

score 64 · Answer 2 · 2026-04-01 03:10:05

64

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Given a random variable $\beta \in R$ with zero mean and variance $\sigma^{2}$. What is the mean of the random variable $z=\beta^{2}$?

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score 94 · Answer 3 · 2017-11-21 13:54:34

94

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Calculate $Var(125 \times 10^6t - S_{5000t})$

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score 2.3k · Answer 4 · 2026-03-30 11:22:40

2.3k

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score 341 · Answer 5 · 2017-11-24 02:26:39

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score 206 · Answer 6 · 2017-11-24 14:11:37

206

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score 1.1k · Answer 7 · 2017-11-24 18:30:22

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score 5.1k · Answer 8 · 2017-11-24 23:29:06

5.1k

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If $\operatorname{var}(X) =0$ then $p( X = E (X)) = 1.$

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score 212 · Answer 9 · 2017-11-25 01:53:48

212

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score 154 · Answer 12 · 2017-11-26 20:16:15

Is proving that $var[X_1+X_2]=var[X_1]+var[X_2]$ sufficient in proving $var(\sum\limits_{i=1}^n X_i $)=$\sum\limits_{i=1}^n var[X_i] $

score 36 · Answer 13 · 2026-03-31 17:48:03

36

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score 1.1k · Answer 14 · 2026-04-01 05:03:07

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score 52 · Answer 15 · 2026-04-02 09:58:01

52

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List Question

Constructing a confidence interval for population variance

Given a random variable $\beta \in R$ with zero mean and variance $\sigma^{2}$. What is the mean of the random variable $z=\beta^{2}$?

Calculate $Var(125 \times 10^6t - S_{5000t})$

Maximum likelihood estimator of the difference between two normal means and minimising its variance

A simple variance question

vector summation done in matrix form (linear algebra)

Variance of the number of couples seated together

If $\operatorname{var}(X) =0$ then $p( X = E (X)) = 1.$

Expectation value and variance of random variables

A dog biting a complete binary Christmas tree - expected value, variance

third central moment negative binomial distribution

Is proving that $var[X_1+X_2]=var[X_1]+var[X_2]$ sufficient in proving $var(\sum\limits_{i=1}^n X_i $)=$\sum\limits_{i=1}^n var[X_i] $

Fitting a univariate Gassian - outliers removal.

Variance and Correlation of Linear Combinations of Random Variables

Identical balls & 1 odd ball problem (expected value and variance)

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