This Exam P sample reference tests Law of Total Probability. Let the February pass probability after a January failure be q; after a January pass it is twice q. The overall February pass rate gives q equal to 5/17, so the probability of passing both exams is 7/17, approximately 0.41 and choice B.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThis multiplies the two marginal pass rates and assumes the exam results are independent, contrary to the stated conditional-rate relationship.
CThis would require a February pass rate of about 0.643 after a January pass. Substitution into the stated two-to-one relationship produces an overall February rate above 0.50.
DThis is the marginal February pass probability. It does not also require a January pass.
EThis is the February pass probability conditional on a January pass, approximately 0.59, before multiplication by the January pass probability.
Original practice · fully worked
Original variant: recover a production-mode share
A production line runs in a precision mode for part of each day and a rapid mode for the rest. The defect probability is 0.10 in precision mode and 0.40 in rapid mode. Across the full day, 0.25 of items are defective. Calculate the probability that a randomly selected item was produced in rapid mode and is defective.
A 0.05
B 0.20
C 0.40
D 0.25
E 0.50
Variant answer in brief
The overall defect rate lies halfway between the two mode-specific rates, so each mode has probability one-half. Rapid-mode defects therefore have joint probability 0.50 × 0.40, or 0.20 and choice B.
Setup
Setup
Let r be the probability that an item is produced in rapid mode.
Pr(R)=r,Pr(P)=1−r
Model
Model
Express the overall defect rate as a mixture of the two operating modes.
0.25=(1−r)(0.10)+r(0.40)
Compute
Compute
Recover the mode share and then calculate the rapid-and-defective joint probability.
r=0.50
Pr(R∩D)=0.50(0.40)=0.20
Answer
Answer
Twenty percent of all items are both rapid-mode and defective.
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