This Exam P sample reference tests Central Limit Theorem. The sample average has mean 16 and standard deviation √(16/64)=0.5. A normal approximation transforms the two endpoints to -2 and 4, giving Φ(4)-Φ(-2)=0.9772, so choice D is correct.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThis uses the single-group standard deviation 4 instead of the sampling standard deviation 0.5: Φ(0.5) − Φ(−0.25) = 0.2902, near 0.29.
BThis applies a one-group Poisson calculation to the integer range 15 through 18, obtaining approximately 0.3748. The random quantity here is the average of 64 groups, not one group count.
CThis replaces the asymmetric standardized interval (−2, 4) by (−2, 2), giving Φ(2) − Φ(−2) = 0.9545, near 0.95.
EThis rounds both the upper tail beyond 4 and the lower tail below -2 to zero. The lower tail is about 0.0228 and cannot be discarded when rounding the final probability.
Original practice · fully worked
Original variant: completion time for a service queue
A technician completes 100 independent calibration tasks. Each task duration is exponentially distributed with mean 2 minutes. Using a normal approximation, calculate the probability that the total duration is at most 220 minutes.
A 0.159
B 0.500
C 0.841
D 0.921
E 1.000
Variant answer in brief
The total has mean 200 and standard deviation 20. The threshold is one standard deviation above its mean, so the approximation is Φ(1)=0.8413, selecting choice C.
Setup
Setup
Let T be the sum of the 100 independent task durations. An exponential duration with mean 2 also has standard deviation 2.
T=i=1∑100Yi
E[Yi]=2,Var(Yi)=22=4
Model
Model
Add the means and variances, then approximate the standardized total by a normal variable.
E[T]=100(2)=200
Var(T)=100(4)=400
SD(T)=20
Compute
Compute
Convert the time threshold to a standard normal score.
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