/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 4 Evaluate the given expression. ... [FREE SOLUTION] | 91Ó°ÊÓ

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Evaluate the given expression. $$ \frac{6 !}{4 ! 2 !} $$

Short Answer

Expert verified
The given expression is \(\frac{6!}{4!2!}\). Evaluating factorials, we have 6! = 720, 4! = 24, and 2! = 2. Plugging these values into the expression, we get \(\frac{720}{(24)(2)} = \frac{720}{48} = 15\). Therefore, the expression evaluates to 15.

Step by step solution

01

Understand Factorials

A factorial of a non-negative integer n, denoted by n!, is the product of all positive integers less than or equal to n. For example, 5! means 5 × 4 × 3 × 2 × 1.
02

Evaluate 6!

To find 6!, multiply all the positive integers up to 6: 6! = 6 × 5 × 4 × 3 × 2 × 1 = 720
03

Evaluate 4!

To find 4!, multiply all the positive integers up to 4: 4! = 4 × 3 × 2 × 1 = 24
04

Evaluate 2!

To find 2!, multiply all the positive integers up to 2: 2! = 2 × 1 = 2
05

Divide the factorials

Now that we have the values for 6!, 4!, and 2!, we can plug them into our expression and divide: \(\frac{6!}{4!2!} = \frac{720}{(24)(2)}\)
06

Simplify the expression

Now, let's simplify the expression by dividing 720 by 24 and 2: \(\frac{720}{(24)(2)} = \frac{720}{48} = 15\) So, the expression \(\frac{6!}{4!2!}\) evaluates to 15.

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Key Concepts

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

Factorial Notation
In mathematics, the factorial of a non-negative integer is a fundamental concept, often represented with the exclamation mark (!). The factorial function is defined such that for any non-negative integer \( n \) the factorial \( n! \) is the product of all positive integers from 1 to \( n \) itself. This means \( n! = n \times (n-1) \times ... \times 2 \times 1 \). For instance, \( 5! = 5 \times 4 \times 3 \times 2 \times 1 = 120 \).

There are special cases to consider, where \( 0! \) is defined to be 1, despite the fact \( 0 \) has no positive integers less than or equal to it. Factorial notation is not just a mathematical curiosity; it comes into play in various areas such as counting permutations and combinations, describing series expansions, and more. Understanding how to evaluate factorials is the first step in solving many problems in combinatorial mathematics.

When evaluating expressions involving factorials, like the given exercise \( \frac{6!}{4!2!} \), it's often easy to overlook the fact that many terms in the numerator and denominator can cancel out. We could also compute \( 6! \) as \( 6 \times 5 \times 4 \times 3 \times 2 \times 1 \), but when we divide by \( 4! \) (which is \( 4 \times 3 \times 2 \times 1 \)) and \( 2! \) (which is \( 2 \times 1 \)), the \( 4 \times 3 \times 2 \times 1 \) of the \( 4! \) and the \( 2 \times 1 \) of the \( 2! \) both fully cancel out those same terms in the \( 6! \), simplifying the calculation significantly.
Evaluating Expressions
Evaluating expressions with factorial notation requires careful manipulation of terms, especially when dealing with division, as demonstrated in the solution to the exercise \( \frac{6!}{4!2!} \). Rather than immediately calculating the factorials and then dividing, which can be inefficient and error-prone, it's advisable to first identify and cancel out any common factors.

In our exercise, after breaking down each factorial into its component products, we notice that \( 6! \) includes the product of all numbers from 1 through 6, but \( 4! \) and \( 2! \) contain some of these numbers as well. This allows us to cancel out common terms, simplifying \( \frac{6!}{4!2!} \) to \( \frac{6 \times 5}{2} \) and ultimately to 15 after performing the arithmetic. Key to evaluating such expressions is using this simplification wherever possible, which not only makes the math easier but also greatly reduces the likelihood of errors in calculation.
Permutation and Combination
Permutations and combinations are concepts in mathematics that deal with the counting of arrangements and selections, respectively. In the language of factorials, permutations of \( n \) objects taken \( r \) at a time are denoted as \( \frac{n!}{(n-r)!} \), and they count the different ways you can order \( r \) items from a set of \( n \) options.

Combinations, on the other hand, are represented as \( \frac{n!}{r!(n-r)!} \), and they tell us how many ways we can select \( r \) items from a set of \( n \) without considering the order. The exercise \( \frac{6!}{4!2!} \) we solved is in fact a combination expression, representing the number of different ways to select 2 items from a collection of 6, without caring about the order of selection.

To contextualize, imagine choosing 2 fruit from a basket of 6 different types; the formula lets us calculate how many distinct pairs we can form. Fundamental to understanding permutations and combinations is recognizing this connection with factorials, as it allows an elegant expression of some otherwise complex counting problems.

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Most popular questions from this chapter

Human blood is classified by the presence or absence of three main antigens (A, B, and Rh). When a blood specimen is typed, the presence of the \(\mathrm{A}\) and/or \(\mathrm{B}\) antigen is indicated by listing the letter \(A\) and/or the letter \(B\). If neither the A nor B antigen is present, the letter \(\mathrm{O}\) is used. The presence or absence of the \(\mathrm{Rh}\) antigen is indicated by the symbols \(+\) or \(-\), respectively. Thus, if a blood specimen is classified as \(\mathrm{AB}^{+}\), it contains the \(\mathrm{A}\) and the \(\mathrm{B}\) antigens as well as the \(\mathrm{Rh}\) antigen. Similarly, \(\mathrm{O}^{-}\) blood contains none of the three antigens. Using this information, determine the sample space corresponding to the different blood groups.

Let \(S\) be a sample space for an experiment, and let \(E\) and \(F\) be events of this experiment. Show that the events \(E \cup F\) and \(E^{c} \cap F^{c}\) are mutually exclusive. Hint: Use De Morgan's law.

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