List questions from normal-distribution

Published on 01 Apr 2026 - 8:57

67

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How to group similarity samples?

Published on 08 Apr 2026 - 0:12

74

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Let $X=$ weight of bread in grams, that is normally distributed. If $P(X<445)=0.31$, and $P(X>490)=0.04,$ what is $Pr(458 < X <486)$?

Published on 06 Aug 2016 - 11:45

5.1k

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Expectation of the maximum absolute value of gaussian random variables

Published on 27 Mar 2026 - 9:48

534

Views

Marginalization for normal distribution

Published on 06 Aug 2016 - 17:31

211

Views

As degrees of freedom increase, why does the $\chi^2$ PDF approach a normal PDF?

Published on 27 Mar 2026 - 0:04

118

Views

10000 people are invited to an event. What is the minimum amount of chairs needed to promise 0.95 probability that all people will get a seat?

Published on 28 Mar 2026 - 15:59

3.8k

Views

When to use De Moivre/Laplace and when to use the Central Limit Theory to calculate probability

Published on 07 Aug 2016 - 18:11

250

Views

Kalman Filter - Intermediate results

Published on 30 Mar 2026 - 16:02

568

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Connection between the Kalman filter and the multivariate normal distribution

Published on 10 Aug 2016 - 19:42

236

Views

Prediction Interval for $Y_*$ in a Linear Stat Model

Published on 29 Mar 2026 - 20:49

55

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Stuck on a step in Gauss' proof of the Normal Distribution

Published on 11 Aug 2016 - 14:35

107

Views

Distribution of model summs of squares: $Y^T P_x Y$ and Residual SS $Y^T(I-P_x)Y$

Published on 27 Mar 2026 - 0:05

76

Views

Is something arbitrary if it is a function of something else?

Published on 08 Apr 2026 - 19:08

150

Views

Central limit theorem does not work in this case?

Published on 25 Mar 2026 - 6:57

List Question

Variance of the Sample Variance of a normal distribution

How to group similarity samples?

Let $X=$ weight of bread in grams, that is normally distributed. If $P(X<445)=0.31$, and $P(X>490)=0.04,$ what is $Pr(458 < X <486)$?

Expectation of the maximum absolute value of gaussian random variables

Marginalization for normal distribution

As degrees of freedom increase, why does the $\chi^2$ PDF approach a normal PDF?

10000 people are invited to an event. What is the minimum amount of chairs needed to promise 0.95 probability that all people will get a seat?

When to use De Moivre/Laplace and when to use the Central Limit Theory to calculate probability

Kalman Filter - Intermediate results

Connection between the Kalman filter and the multivariate normal distribution

Prediction Interval for $Y_*$ in a Linear Stat Model

Stuck on a step in Gauss' proof of the Normal Distribution

Distribution of model summs of squares: $Y^T P_x Y$ and Residual SS $Y^T(I-P_x)Y$

Is something arbitrary if it is a function of something else?

Central limit theorem does not work in this case?

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