Original practice · fully worked
Original variant: normalize a sensor-drift density
Positive calibration drift X has density proportional to (2+x)⁻⁵. Determine E[X] after first finding the normalizing constant.
- A
1/3 unit - B
1/2 unit - C
2/3 unit - D
1 unit - E
2 units
Answer and calculation
Normalization gives k=64. Scaling by 2 turns X into a beta-prime(1,4) variable, so E[X]=2/3.
Setup
Setup
Let the density be k times the inverse fifth power of 2+x for positive x. Determine k from unit total probability before computing the drift mean.
fX(x)=k(2+x)−5,x>0 Model
Model
The normalization integral equals 1/64, so k=64. The same scale-two density is then used in the first-moment integral.
1=k∫0∞(2+x)−5dx=64k Compute
Compute
After inserting k=64, direct evaluation of the first-moment integral gives E[X]=2/3.
E[X]=64∫0∞x(2+x)−5dx=32 Answer
Answer
Therefore the expected positive calibration drift is 2/3 unit, corresponding to choice C.
32 unit(C)