Linear Combinations of Independent Random Variables
Tail Probabilities
This Exam P sample reference tests Normal Distribution. The percentage comparison is equivalent to a positive tail for W=X-1.2Y. This normal contrast has mean -2b and variance 2.44b squared, giving upper-tail probability 0.100208 and choice B.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AUsing only the first estimate's standard deviation b gives z=2 and upper tail 0.02275, producing 0.023. It omits the second estimate's variability.
CTreating the multiplier 1.2 itself as the standardized boundary gives 1-Φ(1.2)=0.11507. The z-score must use the contrast mean and variance.
DUsing 1.2 as the numerator but retaining the correct denominator gives z=1.2/√(2.44)=0.7682 and upper tail 0.22118. The actual mean gap is 2b, not 1.2b.
ETreating the 20 percent gap as 0.2 and combining two unit standard deviations gives z=0.2/√(2)=0.1414 and upper tail 0.44377. This discards the given mean-to-standard-deviation scale.
Original practice · fully worked
Original variant: a normal comparison under two calibration modes
Independent normal readings A and B have means 12 and 10 and standard deviation 2 each. A calibration mode, selected independently of the readings, uses multiplier 1.0 with probability 0.40 and multiplier 1.2 with probability 0.60. A check passes when A exceeds the selected multiplier times B. Calculate the pass probability.
A 0.500
B 0.604
C 0.630
D 0.656
E 0.760
Variant answer in brief
The multiplier-1.0 branch has pass probability 0.760250, while symmetry makes the multiplier-1.2 branch probability 0.5. Weighting them by 0.40 and 0.60 gives 0.604099976 and choice B.
Setup
Setup
Compute the normal contrast in the multiplier-1.0 mode.
A−B∼N(2,8)
p1=Pr(A−B>0)=Φ(82)=0.7602499389…
Model
Model
Compute the contrast in the multiplier-1.2 mode.
A−1.2B∼N(0,22+1.22(22))
p1.2=Pr(A−1.2B>0)=21
Compute
Compute
Average the two branch probabilities using the mode probabilities.
Pr(pass)=0.40p1+0.60p1.2
=0.40(0.7602499389)+0.60(0.5)=0.6040999756…
Answer
Answer
The unconditional pass probability is approximately 0.604.
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