Original practice · fully worked
Original variant: calibrating an unknown uniform range
A machine's calibration score is uniformly distributed on an unknown interval. Its 25th percentile is 18 and its 75th percentile is 34. Calculate the probability that a calibration score exceeds 30.
- A
0.125 - B
0.250 - C
0.375 - D
0.625 - E
0.750
Answer and calculation
The 16-point interquartile gap is half the full uniform width, so the support is [10,42]. The tail above 30 has length 12 out of 32, giving 0.375 and choice C.
Setup
Setup
For a uniform distribution, a percentile difference equals the same fraction of the full support width.
q0.75−q0.25=0.50(U−L) Model
Model
Recover the width and then the two endpoints from either stated percentile.
34−18=0.50(U−L)⇒U−L=32 18=L+0.25(32)⇒L=10,U=42 Compute
Compute
Uniform probability is proportional to interval length.
Pr(X>30)=42−1042−30=3212=0.375 Answer
Answer
The upper-tail probability is three-eighths.
0.375(C)