This Exam P sample reference tests Uniform Distribution. The smallest threshold exceeded by no more than 5% of observations is the 95th percentile. For a uniform interval from 1.1 to 8.6, this is 1.1+0.95(7.5)=8.225, so choice D is correct.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThis calculates the 5th percentile, 1.1+0.05(7.5), instead of the 95th percentile required by an upper 5% tail.
BThis multiplies the interval width by 0.95 but forgets to add the lower endpoint 1.1.
CThis computes 0.95(8.6), treating the interval as though it began at zero.
EThis subtracts 5% of the lower endpoint from 8.6 instead of subtracting 5% of the full interval width.
Original practice · fully worked
Original variant: spread from uniform quartiles
A sensor latency is uniformly distributed on an unknown interval. Its 25th percentile is 14 milliseconds and its 75th percentile is 26 milliseconds. Calculate the standard deviation of the latency.
A 6.000
B 6.928
C 12.000
D 13.856
E 24.000
Variant answer in brief
For a uniform distribution, the interquartile range equals one-half of the support width. The 12-millisecond interquartile range therefore gives width 24 and standard deviation 24/√(12)=6.9282, so choice B is correct.
Setup
Setup
Relate uniform percentiles to the unknown support width w.
q0.75−q0.25=(0.75−0.25)w
Model
Model
Use the observed interquartile range to recover the full width.
26−14=0.5w
w=24
Compute
Compute
Apply the continuous uniform standard-deviation formula.
SD(X)=12w
SD(X)=1224=6.9282032303…
Answer
Answer
The latency standard deviation rounds to 6.928 milliseconds.
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