Problem 62
Question
On a basketball team of 12 players, 2 play only center, 3 play only guard, and the rest play forward (5 players on a team: 2 forwards, 2 guards, and 1 center). How many different teams are possible, assuming that it is not possible to distinguish a left guard from a right guard or a left forward from a right forward?
Step-by-Step Solution
Verified Answer
126 different teams
1Step 1: Identify players for each position
There are 12 players in total: 2 centers, 3 guards, and the rest (7 players) are forwards.
2Step 2: Calculate the combinations for centers
Since only 1 center is needed and there are 2 available centers, the number of ways to select 1 center from 2 is \( \binom{2}{1} = 2 \).
3Step 3: Calculate the combinations for guards
Since 2 guards are needed and there are 3 available, the number of ways to select 2 guards from 3 is \( \binom{3}{2} = 3 \).
4Step 4: Calculate the combinations for forwards
Since 2 forwards are needed and there are 7 available, the number of ways to select 2 forwards from 7 is \( \binom{7}{2} = 21 \).
5Step 5: Multiply the combinations
The total number of different teams is the product of the combinations of centers, guards, and forwards: \( 2 \times 3 \times 21 = 126 \).
Key Concepts
combinationsbinomial coefficientteam selectionbasic probability
combinations
Combinations are a key concept in combinatorics. They are used to determine how many ways you can choose items from a group, without caring about the order of selection. For example, consider you have 3 fruits: an apple, a banana, and a cherry. If you want to choose 2 out of these 3 fruits, you can have the following combinations: apple and banana, apple and cherry, or banana and cherry. The number of ways to select 2 items from 3 is calculated using the formula for combinations \(\binom{n}{k}\), where n is the total number of items, and k is the number of items to choose. Mathematically, this is represented as \[ \binom{n}{k} = \frac{n!}{k!(n-k)!} \] Here, \(!\) denotes factorial, which means multiplying a sequence of descending natural numbers. Combinations ensure that the order of selecting items does not matter. In our basketball team example, this concept helps in choosing centers, guards, and forwards effectively.
binomial coefficient
The binomial coefficient, often denoted as \( \binom{n}{k} \), is a specific mathematical term within combinatorics. It is used to compute the number of ways to select k items out of n items, where the order of selection does not matter. The binomial coefficient can also be seen in the expanded form of a binomial expression, such as \( (a + b)^n \). The binomial coefficient directly relates to combinations. For instance, in selecting the forwards for the basketball team, the number of ways to choose 2 forwards out of 7 is given by the binomial coefficient \( \binom{7}{2} = 21 \). This coefficient is crucial in the calculation steps to find the total number of possible teams.
team selection
Team selection often involves choosing members for different positions, following specific rules or constraints. In our problem, we have constraints like having 2 forwards, 2 guards, and 1 center. The selection steps are broken down based on the specific number of players available for each position and the number required.
- First, you determine the available and required players for each position.
- Then, you calculate the possible combinations using the binomial coefficient for each group.
- Centers: \( \binom{2}{1} = 2 \)
- Guards: \( \binom{3}{2} = 3 \)
- Forwards: \( \binom{7}{2} = 21 \)
basic probability
Basic probability often uses combinatorics to determine the likelihood of an event. Probability is calculated by considering all possible outcomes and the desired outcomes. The formula is as follows: \[ \text{Probability} = \frac{\text{Desired outcomes}}{\text{Total possible outcomes}} \] In the context of our basketball team, while the exercise focuses on combinations, understanding probability can further help to predict the likelihood of forming a particular team configuration. By mastering combinatorial techniques like calculating combinations and using the binomial coefficient, you can seamlessly transition to solving more complex probability problems.
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