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Find the value of each combination. $$_{40} C_{40}$$

Short Answer

Expert verified
The value of \( _{40}C_{40} \) is 1.

Step by step solution

01

Understanding the Combination Formula

The combination formula is used to find the number of ways to choose items from a larger set without regard to the order of selection. The formula is given by \[ _n C_r = \frac{n!}{r!(n-r)!} \] where \( n \) is the total number of items, and \( r \) is the number of items to choose.
02

Substitute the Given Values

In this exercise, \( n = 40 \) and \( r = 40 \). Substitute these values into the formula: \[ _{40}C_{40} = \frac{40!}{40!(40-40)!} \] Simplify the equation inside the factorial: \[ _{40}C_{40} = \frac{40!}{40! \times 0!} \]
03

Simplify the Expression

Recall that \( 0! = 1 \). Thus, the equation simplifies to \[ _{40}C_{40} = \frac{40!}{40! \times 1} = \frac{40!}{40!} = 1 \]

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Key Concepts

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

combination formula
In probability and statistics, combinations are a way to select items from a larger set where the order of selection does not matter. This is different from permutations where order does matter. The combination formula is given by the expression: overtag{ _n C_r = \frac{n!}{r!(n-r)!} }where \( n \) represents the total number of items, and \( r \) is the number of items to choose from the total set. This formula helps in finding the number of possible ways to get a subset of items from a larger set.
factorial
Factorials are a key part of the combination formula. A factorial, denoted by \( n! \), is the product of all positive integers up to \( n \). For example, \( 5! = 5 \times 4 \times 3 \times 2 \times 1 = 120 \). Factorials grow very quickly with larger values of \( n \), which makes them useful in combinatorial problems. An important point to remember is that by definition, \( 0! = 1 \). This special case is essential in combination calculations where \( n \) and \( r \) might be equal, as we saw in the exercise with \( _{40} C_{40} \).
binomial coefficient
The combination formula can also be referred to as the binomial coefficient. This term arises from its role in the binomial theorem, which provides a way to expand expressions of the form \( (a + b)^n \). The binomial coefficient, represented by \( \binom{n}{r} \), is the same as \( _n C_r \) and is calculated using the same factorial-based formula. In practice, the binomial coefficient gives the count of ways to pick \( r \) items from \( n \) without caring about the order of selection.
statistical methods
Combinations play a crucial role in various statistical methods. For example, they are used in hypothesis testing, where you might need to determine the number of possible outcomes. They are also important in probability calculations, like finding the likelihood of a certain number of successes in a sequence of independent events (binomial distribution). Understanding combinations, and by extension the combination formula, factorials, and the binomial coefficient, is fundamental to grasping more advanced statistical methods and concepts.

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Most popular questions from this chapter

Find the value of each combination. $$_{9} C_{2}$$

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