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How can I find the sample variance if the given sample has no representatives of one category?

score 20 · Answer 1 · 2026-03-25 06:21:44

20

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How can I find the sample variance if the given sample has no representatives of one category?

Published on 25 Mar 2026 - 6:21

score 863 · Answer 2 · 2026-04-01 08:54:27

863

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Joint differential entropy of sum of random variables: $h(X,X+Y)=h(X,Y)$?

Published on 01 Apr 2026 - 8:54

score 1.8k · Answer 3 · 2018-02-04 00:00:01

1.8k

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score 2.8k · Answer 4 · 2018-02-04 01:30:38

2.8k

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score 541 · Answer 5 · 2026-03-24 23:44:37

541

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score 2.4k · Answer 6 · 2018-02-04 07:57:06

2.4k

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Published on 04 Feb 2018 - 7:57

score 23 · Answer 7 · 2026-03-25 20:35:21

23

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How did these equations go from Step 2 to Step 3?

Published on 25 Mar 2026 - 20:35

score 1.5k · Answer 8 · 2026-03-25 23:38:48

1.5k

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Classify the states of this Markov chain which is given by a transition matrix

Published on 25 Mar 2026 - 23:38

score 103 · Answer 9 · 2026-03-26 11:04:57

103

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Given Markov Chain - Compute $f_{00}(5)$ and $\mu_0=E(T_0 | X_0=0)$

Published on 26 Mar 2026 - 11:04

score 1k · Answer 10 · 2026-03-22 19:50:42

1k

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Let $X$ and $Y$ be independent and identically distributed random variables with moment generating function then $E(\dfrac{e^{tX}}{e^{tY}})$

Published on 22 Mar 2026 - 19:50

score 2.9k · Answer 11 · 2018-02-04 18:25:06

2.9k

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Screening Test: Cancer Probability

Published on 04 Feb 2018 - 18:25

score 589 · Answer 12 · 2026-03-26 07:34:50

589

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A book on statistics similar to Michael Spivak's Calculus

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score 79 · Answer 13 · 2026-03-30 00:36:37

79

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score 3.8k · Answer 14 · 2026-04-01 06:44:59

3.8k

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Published on 01 Apr 2026 - 6:44

score 174 · Answer 15 · 2026-03-25 16:06:30

174

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How to know the probability distribution without knowing the probability density?

Published on 25 Mar 2026 - 16:06

List Question

How can I find the sample variance if the given sample has no representatives of one category?

Joint differential entropy of sum of random variables: $h(X,X+Y)=h(X,Y)$?

Statistical Probability question

Stuck on a probability question (Statistical probability)

Density of Adding Two Independent Uniform Random Variables

Kullback-Leibler divergence is equivalent to L2 norm in some cases?

How did these equations go from Step 2 to Step 3?

Classify the states of this Markov chain which is given by a transition matrix

Given Markov Chain - Compute $f_{00}(5)$ and $\mu_0=E(T_0 | X_0=0)$

Let $X$ and $Y$ be independent and identically distributed random variables with moment generating function then $E(\dfrac{e^{tX}}{e^{tY}})$

Screening Test: Cancer Probability

A book on statistics similar to Michael Spivak's Calculus

Optimal wager strategy for high win chance / high odds game

Statistics: Why are school grades qualitative variable?

How to know the probability distribution without knowing the probability density?

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