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Compute \(C_{5,2}\).

Short Answer

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Step by step solution

01

Understand the Problem

You are asked to compute the binomial coefficient, which is the number of ways to choose 2 items from a set of 5 items. This is mathematically represented as \(C_{5,2}\) or \(\binom{5}{2}\).
02

Recall the Formula

The binomial coefficient \(C_{n,k}\) is given by the formula: \[ C_{n,k} = \frac{n!}{k!(n-k)!} \] where \(n!\) (factorial) is the product of all positive integers up to \(n\), and \(k\) is the number of items to choose.
03

Plug in the Values

For \(C_{5,2}\), the formula becomes: \[ C_{5,2} = \frac{5!}{2!(5-2)!} \]
04

Compute the Factorials

Calculate each factorial: \(5! = 5 \times 4 \times 3 \times 2 \times 1 = 120\) and \(3! = 3 \times 2 \times 1 = 6\), \(2! = 2 \times 1 = 2\).
05

Final Calculation

Now substitute the values into the formula: \[ C_{5,2} = \frac{120}{2 \times 6} = \frac{120}{12} = 10 \]
06

Conclusion

Therefore, the number of ways to choose 2 items from a set of 5 is 10.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Factorial
Factorials are a fundamental concept in mathematics, especially in the fields of combinatorics and probability. The factorial of a non-negative integer, represented as \(n!\), is the product of all positive integers from 1 up to \(n\). For instance, \(5! = 5 \times 4 \times 3 \times 2 \times 1 = 120\). By convention, the factorial of 0 is defined as 1. This is because there is exactly one way to choose nothing from nothing.Factorials are pivotal in computations involving permutations and combinations:
  • Permutations calculate the different arrangements of a set, relying on factorials to determine the total possibilities.
  • Combinations, or binomial coefficients, use factorials to determine the number of ways to choose a subset of items from a larger set, without regard to order.
In practical terms, factorials help solve problems involving counting and arrangement and are hugely important in various scientific and engineering computations.
Combinatorics
Combinatorics is the branch of mathematics dealing with counting, arrangement, and combination of objects. It's essential for solving problems related to different configurations or selections that can be made from a set.The concept of combinations comes into play when the order of selection does not matter. This is typically expressed using the binomial coefficient, \(\binom{n}{k}\), which represents the number of ways to choose \(k\) items from \(n\) items without considering order. This is distinct from permutations, where order does matter.Binomial coefficients have applications across various fields:
  • Probability: Calculating the probability of different outcomes by considering all possible combinations.
  • Statistics: Constructing datasets and models, and in the analysis of statistical significance.
  • Computer Science: Algorithms and data structures often utilize combinatorial principles to optimize solutions.
By understanding the fundamentals of combinatorics, one can solve complex problems related to counting and arrangement in an efficient way.
Mathematical Notation
Mathematical notation is a system of symbols used to represent numbers, operations, relations, and analytical expressions. It simplifies complex mathematical concepts into understandable formats.For example, the expression \(\binom{n}{k}\) is a notation for the binomial coefficient, indicating the number of combinations possible when choosing \(k\) items from \(n\) items. This is expanded using the formula \(\binom{n}{k} = \frac{n!}{k!(n-k)!}\), where the "!" symbol denotes the factorial operation.This notation is not only crucial for writing equations concisely but also helps in:
  • Facilitating communication between mathematicians through universal symbols understood globally.
  • Enabling the precise formulation of mathematical models in science and economics.
  • Allowing complex concepts to be broken down and understood step-by-step through symbolic representation.
Mastery of mathematical notation is essential for any student or professional dealing with quantitative data or models. It provides clarity and precision, making complex ideas easier to grasp and manipulate.

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