Two counterfeit coins of equal weight are mixed with 8 identical genuine coins. The weight of each of the counterfeit coins is different from the weight of each of the genuine coins. A pair of coins is selected at random without replacement from the 10 coins. A second pair is selected at random without replacement from the remaining 8 coins. The combined weight of the first pair is equal to the combined weight of the second pair. What is the probability that all 4 selected coins are genuine?
- A)
- B)
- C)
- D)
- E)
Answer
D
Key insight
The pairs weigh the same only when both are all genuine or each contains exactly one counterfeit, so compare just those two counts.
Solution
Every way of choosing a first pair and then a second pair is equally likely: there are of them.
Let and be the genuine and counterfeit weights. A pair weighs , , or according to how many counterfeits it holds, and these three values are all different. So the two pairs balance exactly when they contain the same number of counterfeit coins. With only two counterfeits in the box, that leaves two cases.
Case 1: no counterfeits at all. Choose two genuine coins, then two more: ways.
Case 2: one counterfeit in each pair. First pair: one of counterfeits with one of genuine coins, ways. Second pair: the remaining counterfeit with one of the remaining genuine coins, ways. Total .
The condition "the weights match" restricts us to equally likely outcomes, of which the in Case 1 are all-genuine. The probability is
The answer is .
Why this works
Conditioning means throwing away every outcome that violates the given information and re-normalizing over what remains. Here the given information ("weights match") is a statement about counterfeit counts, so a short case split identifies the surviving outcomes, and the answer is a ratio of two counts. Look for the hidden equivalence that turns a physical condition into a combinatorial one.
Alternative approach
Work with probabilities instead of counts. Both pairs genuine: . One counterfeit in each pair: . Conditional probability: .
The trap
Reporting the unconditional probability that all four coins are genuine, 420/1260 = 1/3, instead of restricting to the equal-weight outcomes.
Common mistakes
- Reporting the unconditional probability that all four coins are genuine, 420/1260 = 1/3, instead of restricting to the equal-weight outcomes.
- Forgetting the mixed case entirely (or counting it as by not removing the used counterfeit), which changes the denominator.
- Treating the pair "two counterfeits" versus "two genuine" as balanced; because .
Techniques
Split into exhaustive cases and handle each · Set up the equation/formula and compute; no special trick needed