This Exam P sample reference tests Uniform Distribution. One appraisal lies below the price with probability 3/4 and above it with probability 1/4. The price is strictly between the extrema unless all four appraisals lie on the same side, so the probability is 1-(3/4)⁴-(1/4)⁴=0.6796875 and choice D.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AIf K counts appraisals below the price, the incorrect calculation P(K=1)+one half P(K=2)=0.046875+0.10546875=0.15234375 produces this choice. Every K=2 configuration straddles the price and must receive full weight.
BThe value 0.188 is (3/4)(1/4)=0.1875. It treats the minimum and maximum like one prescribed below-above pair and ignores the other appraisals and their possible orderings.
CRounding the side probabilities prematurely to 0.8 and 0.2 gives 1-(0.8)⁴-(0.2)⁴=0.5888, which becomes 0.6 under coarse one-decimal rounding.
EThe value 0.996 is 1-(1/4)⁴=0.996094, the probability of at least one appraisal below the price. It forgets that at least one appraisal must also be above it.
Original practice · fully worked
Original variant: a batch spanning two quality bands
A polymer assay score X has density f(x)=2x between zero and one, and zero elsewhere. Six independent specimens are tested. Calculate the probability that the batch contains at least one score below 0.30 and at least one score above 0.80.
A 0.363
B 0.391
C 0.402
D 0.432
E 0.931
Variant answer in brief
One score is low with probability 0.09, middle with probability 0.55, and high with probability 0.36. Inclusion-exclusion over the missing-low and missing-high events gives 0.391091912, so choice B.
Setup
Setup
Integrate the density and convert the two score thresholds into three category probabilities.
F(x)=∫0x2tdt=x2,0≤x≤1
pL=F(0.30)=0.09,pH=1−F(0.80)=0.36
pM=F(0.80)−F(0.30)=0.55
Model
Model
Complement the events that the batch has no low score or no high score, restoring their overlap.
Pr(L≥1,H≥1)=1−Pr(L=0)−Pr(H=0)+Pr(L=0,H=0)
Compute
Compute
Use independence across the six specimens for each all-in-an-allowed-region probability.
Pr(L≥1,H≥1)=1−(0.91)6−(0.64)6+(0.55)6
=0.391091911848
Answer
Answer
The probability that the batch reaches both outer quality bands is approximately 0.391.
The 3108-page Probability Proof Manual reorganizes 718 verified Exam P solutions by syllabus skill and adds formula proofs, error patterns, and original worked practice.