This Exam P sample reference tests Geometric Distribution. The stopping time is geometric, so its cumulative probability through r is 1-(1-p)ʳ. Because the event through m is nested inside the event through n, the required conditional probability is their CDF ratio, which is choice E.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThe ratio m/n would be valid if the stopping position were uniform over 1 through n. A geometric stopping time places more mass on earlier positions.
BThe expression (1 − p) raised to the power m − n reverses a survival exponent; for m < n it exceeds one and therefore cannot be a probability.
CThe expression 1 − (1 − p)ᵐ is the unconditioned probability of stopping by m. It omits normalization by the event that stopping occurs by n.
DThe ratio (1 − pᵐ)/(1 − pⁿ) raises the success probability to a power. The probability of r consecutive non-stopping outcomes is (1 − p)ʳ, not pʳ.
Original practice · fully worked
Original variant: recover after an initial failed window
A remote station makes independent transmission attempts, each succeeding with probability 0.25. An operator knows that the first four attempts failed. Given this information, calculate the probability that the first success occurs by attempt 7.
A 0.1829
B 0.2500
C 0.4219
D 0.5781
E 0.7627
Variant answer in brief
After four known failures, the station has three further opportunities through attempt 7. The probability of at least one success in those three attempts is 1-0.75³=0.578125, so choice D.
Setup
Setup
Conditioning identifies the first four outcomes. Independence leaves the success probability on each later attempt unchanged.
q=1−0.25=0.75
Model
Model
Success by attempt 7 now means at least one success among attempts 5, 6, and 7.
Pr(success by 7∣first 4 fail)=1−Pr(attempts 5–7 all fail)
Compute
Compute
Multiply the three independent failure probabilities and take the complement.
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