Original practice · fully worked
Original variant: variance of an odds transformation
A random proportion X has density f(x)=60x²(1-x)³ for 0<x<1. Define Y=X/(1-X). Calculate Var(Y).
- A
1/2 - B
1 - C
3/2 - D
2 - E
3
Answer and calculation
Integrating the transformed moments gives E[Y]=1 and E[Y²]=2. Hence Var(Y)=2-1²=1, choice B.
Setup
Setup
Apply the odds transformation to the stated beta-type density and form its first two raw moments.
E[Y]=60∫01x3(1−x)2dx=1 Model
Model
The transformed mean is one and the transformed second raw moment is two.
E[Y2]=60∫01x4(1−x)dx=2 Compute
Compute
Subtracting the squared mean from the second raw moment gives variance one.
Var(Y)=2−12=1 Answer
Answer
The odds transformation has variance 1.
1(B)