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Is the variance of the mean of a set of possibly dependent random variables less than the average of their respective variances? [closed]

Is the variance of the mean of a set of possibly dependent random variables less than or equal to the average of their respective variances? Mathematically, given random variables $X_1, X_2, ..., X_n$ ...
HappyFace's user avatar
  • 139
1 vote
1 answer
57 views

Variance of $X + \alpha^\top Y$ where $X$ is a scalar random variable and $Y$ is a random vector [duplicate]

Consider a scalar random variable $X\in\mathbb{R}$, a vector random variable $Y\in\mathbb{R}^n$ and a constant (non-random) vector $\alpha\in\mathbb{R}^n$. I want to compute $$ \mathbb{V}[X + \alpha^\...
Physics_Student's user avatar
1 vote
1 answer
61 views

If $X\in\{0,1\}$, then $\frac{cov(X,Y)}{Var(X)}=\mathbb{E}(Y|X=1)-\mathbb{E}(Y|X=0)$

If $X\in\{0,1\}$, then $\frac{cov(X,Y)}{Var(X)}=\mathbb{E}(Y|X=1)-\mathbb{E}(Y|X=0)$ I have no idea what to address with the conditional expectation part. Thank you for any comments, someone has ...
LJNG's user avatar
  • 331
1 vote
0 answers
31 views

Understanding Covariance after Variance (visually)

2 Points i understood from variance derivation- A) For calculating Variance we do not subtract (or mod add), but rather sum squared all points' differences from the mean. B) Variance of 1,2,3 will be ...
Shivam Anand's user avatar
0 votes
1 answer
440 views

Expresion for Var(X/Y)

I am suggested the following formula and I can't find some reference on this expression : $$\text{Va}r(X/Y)=E(X^2/Y^2)-E^2(X/Y)=\text{Cov}(X^2,1/Y^2)+E(X^2)E(1/Y^2)-(\text{Cov}(X,1/Y)+E(X)E(1/Y))^2$$ ...
user avatar
2 votes
1 answer
360 views

What can be deduced about the covariance between f(x) and f(x + K) for constant K?

The question concerns transformations of a random variable $X$ by a function $f$. I’d like to understand whether there are conditions that could make: $$\operatorname{covar}(f(X), f(X + K) ) \geq \...
Avanti89's user avatar
  • 115
1 vote
1 answer
63 views

Understanding covariance

I came across following problem: A discrete random variable $P$ takes values $-3,-2,0,2,3$ with probability $0.2$. Let $Q=P^2$ be another random variable. What is covariance of $P$ and $Q$? I solved ...
Rnj's user avatar
  • 225
0 votes
0 answers
31 views

Variance/covariance computations in a simple probability weighted estimator

My recent homework included a problem where I had to to show that: $\frac{\delta^2}{p^2} Var(\hat{p}) - \frac{2 \delta}{p} Cov(\hat{\delta} + \frac{\delta}{p} (\hat{p} - p), \hat{p})$ < 0, where $\...
jevgenyij96's user avatar
2 votes
1 answer
239 views

Will change in standard deviation impact covariance?

If we increase the degree of standard deviation of one variable, does it affect covariance of two variables? Example, two variables are there, A & B, the covariance of A & B is 100, and the ...
Faizan Ansari's user avatar
6 votes
1 answer
232 views

What is the meaning of $\sqrt{\mathrm{var}(X)\mathrm{var}(P)-[\mathrm{cov}(X,P)]^2}$?

What is the meaning of the quantity: $$\varepsilon=\sqrt{\mathrm{var}(X)\mathrm{var}(P)-[\mathrm{cov}(X,P)]^2}$$ Is there, for example, a geometric explanation? Is there a term for it in statistics?
apadana's user avatar
  • 161
0 votes
0 answers
94 views

Conditional Covariance Problem

Suppose we have independent (not necessarily identical) normally distributed random variables X, Y. If we're given that, upon sampling each variable, X is some multiple a of Y (i.e. x = ay), what is ...
pauliewalnuts's user avatar
1 vote
1 answer
225 views

Variance and covariance inequality

Given a real-valued random variable $X$, is $$2\mathbb E[X] \mathrm{Var}(X) \geq \mathrm{Cov}(X, X^2)$$ true? Any pointers for how to tackle this problem would be immensely helpful.
sk1ll3r's user avatar
  • 549
1 vote
0 answers
114 views

Variance of bivariate normal distribution plus normal distribution

Problem: $W = -27 + 0.3X + 0.45Y + E$ The pair $\begin{bmatrix} X \\ Y \end{bmatrix}$ behaves like a bivariate normal with vector of averages $\begin{bmatrix} 156 \\ 86 \end{bmatrix}$ and ...
David Duarte's user avatar
2 votes
2 answers
4k views

Variance of a sum of identically distributed random variables that are not independent

I am "new" to probability/statistics and I was hoping someone could verify that this is correct. Let $Y_1,\ldots,Y_n$ be random variables that follow a common distribution with mean $\mu$ and variance ...
unity's user avatar
  • 23
0 votes
0 answers
833 views

Joint Density and Covariance between Two Random Variables with the same Mean and Variance

This seems like a deceptively simple question, (and it perhaps is and I am missing something) but I could not find anything on this. Q1) Are there any general results / relationships to get the Joint ...
texmex's user avatar
  • 385