Original practice · fully worked
Original variant: heavy-kit dispatch inference
A warehouse dispatches 1, 2, or 4 replacement kits with probabilities 0.50, 0.30, and 0.20. Each kit independently weighs 1 kg with probability 0.75 or 3 kg with probability 0.25. Given that a dispatch weighs at least 6 kg, calculate the probability that it contains four kits.
- A
0.1367 - B
0.4000 - C
0.6836 - D
0.8794 - E
0.9162
Answer and calculation
A two-kit dispatch qualifies only when both kits are heavy, while a four-kit dispatch qualifies when at least one is heavy. Bayes' formula gives 175/199=0.8794, so choice D is correct.
Setup
Setup
Let H be the event that total dispatch weight is at least 6 kg. A one-kit dispatch cannot satisfy H.
Pr(H∣N=1)=0 Model
Model
Two kits require two heavy outcomes. Four kits already weigh 4 kg, so at least one heavy outcome is sufficient.
Pr(H∣N=2)=(41)2=161 Pr(H∣N=4)=1−(43)4=256175 Compute
Compute
Apply Bayes' formula to the two count values that can produce the observed weight.
Pr(N=4∣H)=(0.30)(1/16)+(0.20)(175/256)(0.20)(175/256) Pr(N=4∣H)=199175=0.8793969849 Answer
Answer
The qualifying dispatch contains four kits with probability about 0.8794.
0.8794(D)