This Exam P sample reference tests Discrete Random Variables. This is a tail-sum expectation for a bounded nonnegative integer count. The four positive tail probabilities add to 5/6=0.8333, so choice A is correct.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
BSquaring only a denominator rather than the full parenthesized tail expression gives a false tail sum 17/18=0.9444, whose nearest listed value is 0.96.
CThe calculation sum r Pr(X≥r)=25/18=1.3889 incorrectly weights tail probabilities by their thresholds; the tail-sum identity uses coefficient one.
DThe value 1.81 fails the direct tail check: the four valid tails total 0.8333, so reaching 1.81 would require adding probability mass from unsupported levels.
EIncluding Pr(X≥0)=1 in the positive-tail sum gives 1+5/6=1.8333. The identity begins at level one because every count already exceeds or equals zero.
Original practice · fully worked
Original variant: expected relay depth of a probe
A probe can reach at most four relays. It reaches relay 1 with probability 0.80. Conditional on reaching the current relay, its probabilities of reaching the next relay are 0.75 from relay 1, 0.50 from relay 2, and 0.40 from relay 3. Let N be the number of relays reached. Calculate E[N].
A 0.12
B 1.02
C 1.70
D 1.82
E 2.45
Variant answer in brief
Multiplying continuation probabilities gives the four tails 0.80, 0.60, 0.30, and 0.12. Their sum is E[N]=1.82, so choice D is correct.
Setup
Setup
Express the expectation of the bounded relay count as a sum of reach probabilities.
E[N]=r=1∑4Pr(N≥r)
Model
Model
A later relay is reached only if every earlier continuation succeeds, so multiply along the route.
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