This Exam P sample reference tests Conditional Probability. Condition on the completion time being above its normal mean, an event with probability one-half. Standardizing the upper endpoint gives a conditional probability of 0.261117, which rounds to choice B.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThis is the unconditional interval probability between 7.5 and 8 hours. It omits division by the conditioning probability of one-half.
CThis is approximately the unconditional upper-tail probability beyond 8 hours, rather than the probability of finishing by 8 after the stated condition.
DThis is approximately the unconditional probability of completion by 8 hours, so it includes all times below 7.5 that the condition rules out.
EThis is the complement within the conditioned upper half: the probability of still working after 8 given a completion time above 7.5.
Original practice · fully worked
Original variant: laboratory batch runtime
The runtime of an automated laboratory batch is normally distributed with mean 42 minutes and standard deviation 6 minutes. A dashboard shows that a batch is still running at minute 42. Calculate the conditional probability that it completes by minute 48.
A 0.1587
B 0.3173
C 0.5000
D 0.6827
E 0.8413
Variant answer in brief
Given that runtime has passed its mean, the relevant normal mass is the interval from zero to one standard deviation divided by one-half. The result is 0.682689, so choice D is correct.
Setup
Setup
Let R denote runtime and convert minutes to standard normal units.
R∼N(42,62),Z=6R−42
Model
Model
The dashboard condition restricts R to the upper half of its symmetric distribution.
Pr(R≤48∣R>42)=Pr(R>42)Pr(42<R≤48)
Compute
Compute
Minute 48 is one standard deviation above the mean, and the conditioning event has probability one-half.
Pr(R≤48∣R>42)=1/2Φ(1)−Φ(0)
=2Φ(1)−1=0.6826894921…
Answer
Answer
The conditioned batch has probability about 0.6827 of finishing by minute 48.
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