Team and team play a series. The first team to win three games wins the series. Each team is equally likely to win each game, there are no ties, and the outcomes of the individual games are independent. If team wins the second game and team wins the series, what is the probability that team wins the first game?
- A)
- B)
- C)
- D)
- E)
Answer
A
Key insight
List every series where B wins game 2 and A still wins, weighting each by (1/2)^(games played); BBAAA is 1/32 out of a total 5/32.
Solution
We want . Enumerate every series consistent with the condition, remembering that a series of games has probability .
Case 1: wins game 1. Then leads - and must take the next three: , probability .
Case 2: wins game 1. After the series is - and needs two more wins before gets two:
- (four games): ,
- : ,
- : .
Total probability of the condition: .
The conditional probability is
The answer is .
Why this works
Conditioning restricts the sample space to the outcomes satisfying the given information; the answer is the probability of the target outcomes divided by the probability of the restricted space. The subtlety is that series of different lengths are not equally likely, so you must weight each listed sequence by rather than count sequences. Equivalently, imagine all five games always being played: then stands for two five-game strings.
The trap
Counting the four qualifying series as equally likely and answering 1/4; the four-game series ABAA is twice as probable as any five-game series.
Common mistakes
- Counting the four qualifying series as equally likely and answering 1/4; the four-game series ABAA is twice as probable as any five-game series.
- Answering because "each game is a coin flip," ignoring the conditioning on the series result.
Techniques
Organized listing / direct enumeration · Split into exhaustive cases and handle each