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 way the series can go when B wins game 2 and A wins the series. Weight shorter series more, since each game is a coin flip.
Solution
We are told two facts: B won game 2, and A won the series. List every series that fits both facts, find how likely each one is, and see what share of that has B winning game 1.
Each game is a fair coin flip, so a series that lasts games has probability , and one that lasts games has probability .
1. B wins game 1. Then B leads to . For A to win the series, A must win the next three: . Probability .
2. A wins game 1. After , it is to . A needs two more wins before B gets two more:
- : probability .
- : probability .
- : probability .
3. All series that fit the facts. .
4. Share where B won game 1. Only , which is :
The answer is .
Why this works
"Given that" means you keep only the outcomes that match the facts and ask what fraction of them you want. The catch is that series of different lengths are not equally likely: a shorter series needs fewer coin flips to go right. Weight each listed series by its probability instead of just counting the list.
Alternative approach
Pretend all five games are always played, even after someone has won. Now every one of the strings of five results is equally likely, and you can simply count. Keep strings with B in game 2 where A reaches three wins first. With B in game 1: only , so string. With A in game 1: followed by either result ( strings), plus and , so strings. The answer is .
The trap
Counting the 4 possible series as equally likely and answering 1/4. The 4-game series is twice as likely as each 5-game series.
Concise 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 .
Review in the AoPS books
- Introduction to Counting & Probability, Chapter 8: Basic Probability Techniques (§8.5)
- Prealgebra, Chapter 15: Problem-Solving Strategies (§15.2)
- Introduction to Counting & Probability, Chapter 2: Basic Counting Techniques (§2.2)
- Intermediate Counting & Probability, Chapter 11: Conditional Probability
Techniques
Organized listing / direct enumeration · Split into exhaustive cases and handle each