Linked Questions

0 votes
1 answer
535 views

Substracting two normal distributions [duplicate]

I was wondering if we have two normal distributions of X,Y~N(0,1), why is then X-2Y~N(0,5)? I understand the mean of the X-2Y distribution, but why is the variance 5?
Calvin's user avatar
  • 1
1 vote
0 answers
40 views

ARMA(2,1) Solution and Variance [duplicate]

I have an ARMA(2,1) model of the following form, $$y_t=a_1y_{t-1}+a_2y_{t-2}+\epsilon_t+b_1\epsilon_{t-1}$$ Re-arranging and using lag operators: $$(1-a_1L-a_2L^2)y_t=(1+b_1L)\epsilon_t$$ solving for $...
CorporateNationalism's user avatar
0 votes
0 answers
37 views

Variance of an estimator [duplicate]

I have tried to proof the variance of this estimator. Is this right?
econo's user avatar
  • 1
0 votes
0 answers
29 views

Computing SD for function of two RV's in R gives wrong results [duplicate]

I have 2 random variables, all independant, discrete and uniform I want to compute standard deviation for Z = X - Y Here is the R code: ...
Slava Chicago's user avatar
102 votes
6 answers
355k views

How to 'sum' a standard deviation?

I have a monthly average for a value and a standard deviation corresponding to that average. I am now computing the annual average as the sum of monthly averages, how can I represent the standard ...
klonq's user avatar
  • 1,297
9 votes
2 answers
54k views

Why is the variance of $X-Y$ equal to the sum of the variances when $X,Y$ are independent?

I have one question about this. I know that if we have $\mathrm{X}_1,\mathrm{X}_2,\ldots,\mathrm{X}_n$ independent and normally distributed random variables, then the sum $\mathrm{X}_1+\mathrm{X}_2+\...
Andrew's user avatar
  • 205
16 votes
2 answers
17k views

How to add up partial confidence intervals to create a total confidence interval?

I have a response variable that obtains different confidence intervals (CI) when calculated with different explanatory variables. I want to add up all values of the response variable and create a CI ...
Williamstat's user avatar
5 votes
2 answers
8k views

Explanation for Additive Property of Variance?

I'm wondering why variance has additive property, as opposed to why this property doesn't extend to standard deviation? Additive property is defined as: Var(A+B) = Var(A) + Var(B) I imagine this as ...
Fudge's user avatar
  • 61
8 votes
1 answer
3k views

How to combine standard errors for correlated variables

What is the formula for calculating the standard error of a quantity (A) that is the ratio of 2 quantities (A = B/C) if B and C are correlated? According to page 2 of http://www.met.rdg.ac.uk/~...
Ralphael M.'s user avatar
4 votes
2 answers
1k views

How do I relate the std deviation of the step size, to the stdev of the endpoint of a brownian motion, if the step sizes are multiplied by a function

I know that if I take take a brownian motion of, say, 30 steps of standard deviation 1, then the standard deviation of my endpoint will be sqrt(30). But what if the standard deviation of the 30 steps ...
Thomas Browne's user avatar
5 votes
1 answer
4k views

Partitioning explained variance to fixed effects by comparing r squared (R2) between linear mixed models

Lets say I have 2 linear mixed models. One is simply a subset of the other. The first contains terms for 2 fixed effects and a random intercept. One of the fixed effects, "x1" I know, a priori, ...
Dave M's user avatar
  • 523
2 votes
4 answers
244 views

Creating Correlations

I have three variables, A, B, and C. It seems obvious that if X = A-B and Y = C-B that there should be a correlation between X and Y. When I've done this in matlab with random numbers, this seems to ...
user1589483's user avatar
0 votes
1 answer
888 views

Variance of a sum of functions of random variable

I'm trying to prove $$ \mathrm{Var}\left(\sum\limits_{i=1}^n{g(X_i)}\right) = n(Var(g(X_1))) $$ where $X_1...X_n$ are IID variables. I have been trying to use proof for a similar question - https://...
Mateusz Kowalski's user avatar
0 votes
1 answer
428 views

Variance of a Sum

I've got the following random variable for which I must find the expected value and variance: $X_h =\sum_{i=1}^{15} X_i$ Where $X_i$ is a random variable of the set $s = \{0, 1, 3\}$, corresponding to ...
user avatar
1 vote
0 answers
496 views

Sample standard deviation or population standard deviation

I'm running an A/B testing in a website and I'm capturing the number of clicks in a given area of a page. I am calculating the average of clicks per user's session and its standard deviation. The ...
mitomed's user avatar
  • 121

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