Problem 24
Question
For the following exercises, compute the value of the expression. $$ C(10,3) $$
Step-by-Step Solution
Verified Answer
The value of \( C(10,3) \) is 120.
1Step 1: Understanding the Problem
We need to compute the value of the combination expression \( C(10,3) \), which represents the number of ways to choose 3 elements from a set of 10 elements without regard to the order of selection.
2Step 2: Use the Combination Formula
The formula for combinations is given by \( C(n, k) = \frac{n!}{k!(n-k)!} \), where \( n \) is the total number of elements, and \( k \) is the number of elements to choose. In this problem, \( n = 10 \) and \( k = 3 \).
3Step 3: Calculate Factorials
Calculate the factorials needed for the formula:- \( 10! = 10 \times 9 \times 8 \times 7 \times 6 \times 5 \times 4 \times 3 \times 2 \times 1 \)- \( 3! = 3 \times 2 \times 1 \)- \( (10-3)! = 7! = 7 \times 6 \times 5 \times 4 \times 3 \times 2 \times 1 \)
4Step 4: Plug Factorials into Formula
Substitute the factorials into the combination formula: \[ C(10,3) = \frac{10!}{3!(10-3)!} = \frac{10 \times 9 \times 8 \times 7!}{3 \times 2 \times 1 \times 7!} \] Notice that the \(7!\) terms cancel each other out.
5Step 5: Simplify the Expression
Now we have: \[ C(10,3) = \frac{10 \times 9 \times 8}{3 \times 2 \times 1} \] Simplify step by step:1. Calculate \( 10 \times 9 \times 8 = 720 \)2. Calculate \( 3 \times 2 \times 1 = 6 \)3. Divide the results: \( \frac{720}{6} = 120 \)
6Step 6: Verify the Result
Re-check the division and multiplication steps to ensure the computations are correct. The final calculation confirms that \( C(10,3) \) equals 120.
Key Concepts
FactorialsPermutationsBinomial Coefficients
Factorials
A factorial, denoted with an exclamation point as "!", is a fundamental concept often used in combinatorics, calculus, and algebra. Calculating the factorial of a number means multiplying all positive integers less than or equal to that number.
For instance, when we see "10!", it means 10 multiplied by all the numbers below it, down to 1:
They form the backbone of the formulas used to explore how elements can be arranged or selected in various orders.
For instance, when we see "10!", it means 10 multiplied by all the numbers below it, down to 1:
- 10! = 10 × 9 × 8 × 7 × 6 × 5 × 4 × 3 × 2 × 1 = 3,628,800
They form the backbone of the formulas used to explore how elements can be arranged or selected in various orders.
Permutations
When we talk about permutations, we're dealing with arrangements of items where the order matters. Imagine having a set of items, and you're interested in understanding how many ways these items can be ordered.
The basic formula for permutations involves factorials and is written as:
For example, if you have 3 books and you want to arrange them on a shelf, you would use the permutation formula to find out that you have 6 possible orders.
Permutations are distinct from combinations, where the order doesn't matter, and we'll delve into that next.
The basic formula for permutations involves factorials and is written as:
- P(n, k) = \( \frac{n!}{(n-k)!} \)
For example, if you have 3 books and you want to arrange them on a shelf, you would use the permutation formula to find out that you have 6 possible orders.
Permutations are distinct from combinations, where the order doesn't matter, and we'll delve into that next.
Binomial Coefficients
Binomial coefficients, often denoted as \( C(n, k) \), or "n choose k," define combinations. They express how many ways you can choose "k" elements from a total of "n" elements without considering the order.
The combination formula is:
These coefficients are extensively used in binomial expansions and are key components in statistics and probability.
The combination formula is:
- C(n, k) = \( \frac{n!}{k!(n-k)!} \)
- Calculate the large factorial: \( 10! \).
- Compute \( 3! \) and \( 7! \) (since \( 10-3 = 7 \)).
- Apply these factorials in the formula: \( C(10,3) = \frac{10!}{3! \, 7!} \).
These coefficients are extensively used in binomial expansions and are key components in statistics and probability.
Other exercises in this chapter
Problem 24
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