Original practice · fully worked
Original variant: mirrored calibration indexes
A calibration score R has mean 4 and variance 9. Two reporting indexes are defined by U=2R-5 and V=-2R+11. Determine which statement about the means and variances of U and V is true.
- A
Both E[U] and Var(U) exceed their V counterparts. - B
E[U] = E[V], but Var(U) > Var(V). - C
Var(U) = Var(V), but E[U] < E[V]. - D
E[U] = E[V] and Var(U) = Var(V). - E
Var(U) = Var(V), but E[U] > E[V].
Answer and calculation
Both affine transformations have mean 3. Their slopes have equal magnitude, so both variances are 4 times Var(R), or 36. The means and variances are therefore equal, making choice D correct.
Setup
Setup
Apply linearity of expectation to the two reporting indexes.
E[U]=2E[R]−5=2(4)−5=3 E[V]=−2E[R]+11=−2(4)+11=3 Model
Model
An additive constant does not affect variance, while a multiplicative coefficient is squared.
Var(U)=22Var(R) Var(V)=(−2)2Var(R) Compute
Compute
Evaluate the two transformed variances.
Var(U)=4(9)=36 Var(V)=4(9)=36 Answer
Answer
Both pairs of moments are equal.
E[U]=E[V]=3,Var(U)=Var(V)=36(D)