Probability problem (counting)

In summary, the probability of exactly 4 offensive/defensive pairs in a football team of 20 offensive and 20 defensive players paired at random is calculated by dividing the number of ways to pair up the players (256 * 32!) by the total number of ways to pick 20 pairs (40!/20!(2)^20), resulting in a probability of 128 * 38! / (20! * 19! * 18!) .
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Homework Statement



A football team consists of 20 offensive and 20 defensive players. Th players are to be paired to form roommates. They are paired at random. What is the probability that there are exactly 4 offensive/defensive pairs.

Homework Equations





The Attempt at a Solution



See attachment

motivation: -(4!)2 ways to pair up the players.
-[tex]\frac{40!}{20!(2)^20}[/tex] total ways to pick 20 pairs
-(20 choose 4)2 ways to pick the 4 players to be paired up
-[tex]\frac{32!}{16!(2)^16}[/tex] ways to pair up the rest of the guys
 
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-Probability p = \frac{(4!)2(20 choose 4)2\frac{32!}{16!(2)^16}}{\frac{40!}{20!(2)^20}} = \frac{256\frac{32!}{16!(2)^16}}{\frac{40!}{20!(2)^20}} =\frac{256\frac{32!}{16!(2)^16}}{40\cdot 39 \cdot \frac{38!}{20!(2)^20}} =\frac{128\cdot 38!}{20!\cdot 19!\cdot 18!}
 

1. What is a probability problem in counting?

A probability problem in counting is a mathematical question that involves calculating the likelihood of a certain outcome or event occurring in a given situation. This type of problem often involves counting the number of possible outcomes or combinations and then determining the probability of a specific outcome or event.

2. How do you calculate probability in counting problems?

To calculate probability in counting problems, you first need to determine the total number of possible outcomes. Then, you divide the number of favorable outcomes (outcomes that match the desired event) by the total number of outcomes. This will give you a decimal or fraction that represents the probability of the event occurring.

3. What is the difference between permutation and combination in probability problems?

Permutation and combination are two methods used to count the number of possible outcomes in probability problems. Permutation takes into account the order of the objects or events, while combination does not. In other words, permutation considers arrangements, while combination considers selections.

4. How do you use the fundamental counting principle to solve probability problems?

The fundamental counting principle states that if there are m ways to do one task and n ways to do another task, then there are m x n ways to do both tasks together. This principle can be applied to solve probability problems by breaking down the problem into smaller tasks and then multiplying the number of ways to complete each task together to find the total number of possible outcomes.

5. What are some real-life examples of probability problems in counting?

Real-life examples of probability problems in counting include flipping a coin, rolling a die, drawing cards from a deck, and selecting a number on a roulette wheel. These types of problems can also be applied to more complex situations like predicting the likelihood of a certain disease occurring in a population or the chances of winning a lottery.

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