← Review lesson

Quiz dossier / The Matrix Cookbook

A - One-dimensional Results

Advanced formula selection, assumption checking, and exact application for One-dimensional Results, book pages 64-65.

6 questionsEstimated 35 min0 flagged

Session status

0%

Draft

Answered
0/6
Score
0/20

Question 1

4 point(s)

Scalar Gaussian essentials

Let xN(mu,sigma2)x\sim N(mu,sigma^2).

ValidInvalidStatement
E[x]=muE[x]=mu
Var(x)=sigma2Var(x)=sigma^2
Standardization gives (xmu)/sigma(x-mu)/sigma
The density normalization is independent of sigmasigma