This Exam P sample reference tests Central Limit Theorem. The affine update changes the individual mean to 109 and standard deviation to 26. A sample mean of 25 observations has standard error 5.2, so the standardized interval probability is 0.5345, choice B.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThe value 0.48 is Φ(2)-Φ(0)=0.4773, obtained by applying the 100-to-110 interval directly to the untransformed sample mean.
CThe value 0.54 results from transforming the mean to 109 but leaving the standard error at 25/√(25)=5 instead of scaling it by 1.04.
DThe value 0.67 results from using mean 105, as though only the added 5 affected the mean, while still using the transformed standard error 5.2.
EThe value 0.68 is the symmetric probability Φ(1)-Φ(-1), obtained from mean 105 and standard error 5 while ignoring the multiplicative transformation.
Original practice · fully worked
Original variant: choose a sample size after affine calibration
A laboratory's unreported instrument output follows a Gaussian law centered at 50 with standard deviation 12. The displayed value equals three quarters of the raw output plus 8. Find the least number of independent displayed values whose average is within 3 units of its center with probability at least 0.95.
A 25
B 34
C 35
D 36
E 62
Variant answer in brief
The reported standard deviation is 9, so the 95% requirement is 3 √(n)/9 at least z_0.975. This gives n at least 34.573, making 35 the smallest integer, choice C.
Setup
Setup
Transform the individual mean and standard deviation.
E[Y]=0.75(50)+8=45.5
SD(Y)=0.75(12)=9
Model
Model
Because the readings are normal, the sample mean is exactly normal for every positive n.
Y∼N(45.5,n92)
Pr(∣Y−45.5∣≤3)=2Φ(93n)−1
Compute
Compute
Match the central probability to the 97.5th-percentile z-score and round the sample-size requirement upward.
93n≥z0.975=1.959964
n≥(31.959964(9))2=34.5731294
Answer
Answer
The smallest qualifying integer sample size is 35.
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