This Exam P sample reference tests Binomial Distribution. Model the independent claim indicators as Bernoulli trials and equate the two specified waiting-time probabilities. Cancellation leaves 7p(1-p)=1, whose admissible root is approximately 0.172673 and therefore choice C.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
ADropping the remaining factor 1-p after cancellation gives 7p=1 and therefore p=1/7, which rounds to 0.143.
BCounting only six possible positions for the earlier claim and also dropping the remaining failure factor gives p=1/6, or 0.167.
DUsing six rather than seven possible positions but retaining the failure factor leads to 6p(1-p)=1; its smaller root is approximately 0.211.
EConfusing the five failures before the first claim with the number of possible earlier-claim positions gives 5p(1-p)=1 and the smaller root 0.276.
Original practice · fully worked
Original variant: seal-inspection calibration
A packaging line produces independently sealed cartons, each of which fails an inspection with an unknown probability p below 0.5. The chance that exactly two of the next five cartons fail is equal to the chance that none of the next three cartons fail. Determine p.
A 0.100
B 0.224
C 0.258
D 0.316
E 0.408
Variant answer in brief
The two probabilities share a factor of (1-p) cubed. Cancelling it leaves 10p squared equal to one, so p is approximately 0.316228 and choice D is correct.
Setup
Setup
Write each inspection statement as a binomial probability, using q=1-p for a passing carton.
Pr(two failures in five)=(25)p2q3
Pr(no failures in three)=q3
Model
Model
Equate the two expressions and cancel q cubed, which is positive because p is below one half.
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