This Exam P sample reference tests Hypergeometric Distribution. This problem conditions a without-replacement sample on three selections from one category. The remaining selection is from a pool with high-category probability 15/20, so the conditional variance is 0.1875 and choice A.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
BThis removes three selected pages from 30 but incorrectly leaves the seven unselected moderate pages eligible, giving p=15/27 and p(1-p)=20/81=0.2469.
CThis squares the conditional mean, (3/4)²=0.5625, instead of subtracting that square from the second moment.
DBecause the conditional variable is Bernoulli, E[Y²|X=3]=E[Y|X=3]=0.75. This reports that second moment rather than the variance.
EThis adds rather than subtracts the squared mean: E[Y²|X=3]+E[Y|X=3]²=0.75+0.5625=1.3125.
Original practice · fully worked
Original variant: parity count after an even-sum report
Two distinct cards are selected uniformly from cards labeled 1 through 6. The selected labels are reported to have an even sum. Let K be the number of selected cards carrying odd labels. Calculate the conditional variance of K.
A 0.25
B 0.50
C 1.00
D 2.00
E 4.00
Variant answer in brief
An even sum requires the two labels to have the same parity. There are three odd-odd pairs and three even-even pairs, so K is equally likely to be two or zero and has conditional variance 1, making choice C correct.
Setup
Setup
Partition the labels into their two parity classes.
{1,3,5} are odd,{2,4,6} are even
Model
Model
A two-label sum is even exactly when both selected labels have the same parity.
#{odd-odd pairs}=(23)=3
#{even-even pairs}=(23)=3
Pr(K=0∣even sum)=Pr(K=2∣even sum)=21
Compute
Compute
Calculate the first two conditional moments of the two-point count.
E[K∣even sum]=0(21)+2(21)=1
E[K2∣even sum]=02(21)+22(21)=2
Var(K∣even sum)=2−12=1
Answer
Answer
The conditional variance of the odd-label count is one.
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