Calculating the Variance for X^2: How to Find the Correct Solution

  • Thread starter Thread starter Addez123
  • Start date Start date
  • Tags Tags
    Variance
Click For Summary

Homework Help Overview

The discussion revolves around calculating the variance for the function X^2, with participants exploring the implications of different probability density functions and their definitions. The subject area includes probability theory and statistical variance calculations.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the definition of the probability density function and its relation to the uniform distribution. There are attempts to clarify the roles of fx(x) and g(x), with some questioning the assumptions regarding their definitions. Various expressions for calculating variance are proposed, including the use of expected values.

Discussion Status

The discussion is active, with participants providing insights and corrections regarding the definitions and calculations involved. Some have offered guidance on how to compute variance, while others are exploring different interpretations of the functions involved.

Contextual Notes

There are indications of confusion regarding the correct probability density function and the definitions of the functions being used. Participants are also addressing potential errors in their calculations and assumptions.

Addez123
Messages
199
Reaction score
21
Homework Statement
X is equally distributed along the intervall [0,1]
Calculate variance for X^2
Relevant Equations
Variance:
$$\int (x-u)^2*fx(x) dx$$
At first I assumed u to be 1/2 since X is equally distributed along 0-1.
$$\int (x-1/2)^2*x^2 dx = 1/30$$
The correct answer should be 4/45.

I would calculate the u but I think I do it wrong.
If fx(x) = x^2 then what is g(x)?

fx is the probability density function, which is the x^2 they supplied, right?
g(x) i have no real definition for.
 
Physics news on Phys.org
Addez123 said:
fx(x) = x^2
This is not the pdf of a uniform distribution on [0,1]
 
Orodruin said:
This is not the pdf of a uniform distribution on [0,1]
So g(x) = x^2, and fx(x) = 1?
Because then you get u = 1/3rd and variance = 1/9th :/
 
Addez123 said:
So g(x) = x^2, and fx(x) = 1?
Because then you get u = 1/3rd and variance = 1/9th :/
Show how you are computing the variance.
(I think it is easiest to use E(X2)-(E(X))2.)
 
  • Like
Likes   Reactions: Delta2
$$\int (x-1/3)^2 * 1 dx$$
from 0 to 1
EDIT: It should say x^2 since we're donig variance for v(x^2) not v(x). That gives the correct solution.
 
Last edited:
Addez123 said:
$$\int (x-1/3)^2 * 1 dx$$
from 0 to 1
EDIT: It should say x^2 since we're donig variance for v(x^2) not v(x). That gives the correct solution.
Yes.
 

Similar threads

Replies
28
Views
2K
  • · Replies 38 ·
2
Replies
38
Views
4K
  • · Replies 3 ·
Replies
3
Views
894
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 4 ·
Replies
4
Views
1K
Replies
8
Views
1K
  • · Replies 16 ·
Replies
16
Views
2K
Replies
6
Views
2K
Replies
13
Views
2K