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Show that each of the following is true for any values of \(n\) and \(k\). Use two specific sets of values for \(n\) and \(k\) to show that each is true.. $$\text { a. } \quad\left(\begin{array}{l}n \\\0\end{array}\right)=1 \text { and }\left(\begin{array}{l}n \\\n\end{array}\right)=1$$ $$\text { b. }\left(\begin{array}{l}n \\\1\end{array}\right)=n \text { and }\left(\begin{array}{c}n \\\n-1 \end{array}\right)=n \quad \text { c. }\left(\begin{array}{c}n \\\k\end{array}\right)=\left(\begin{array}{c}n \\\n-k\end{array}\right)$$

Short Answer

Expert verified
Statement A, B, and C are true and they can be shown to be true by writing the expressions for the binomial coefficients in terms of factorials. A and B show that there's a single way to select all or none of the n items, and to select an object or to not select one out of n objects. C shows the symmetry of binomial coefficients in Pascal's Triangle.

Step by step solution

01

Proof of Statement A

Write the binomial coefficients \(\left(\begin{array}{c}n\0\end{array}\right)\) and \(\left(\begin{array}{c}n\n\end{array}\right)\) in terms of factorial as they are both equal to \( \frac{n!}{0!(n-0)!} = \frac{n!}{n!(n-n)!}\). Zero factorial is 1 by definition, and \(n-n = 0\), so we can substitute these facts into the equation to show that both binomial coefficients equal 1. Demonstrating the validity of statement A.
02

Proof of Statement B

Write the binomial coefficients \(\left(\begin{array}{c}n\1\end{array}\right)\) and \(\left(\begin{array}{c}n\n-1\end{array}\right)\) as \( \frac{n!}{1!(n-1)!} = \frac{n!}{(n-1)!(n-(n-1))!}\). The factorial of 1 is 1, and \(n-(n-1) = 1\), so substituting these facts into the equation we find that both coefficients are equal to \(n\). Proving statement B.
03

Proof of Statement C

Write the binomial coefficients \(\left(\begin{array}{c}n\k\end{array}\right)\) and \(\left(\begin{array}{c}n\n-k\end{array}\right)\) as \(\frac{n!}{k!(n-k)!} = \frac{n!}{(n-k)!(n-(n-k))!}\). The right side simplifies to \(\frac{n!}{(n-k)!k!}\). Both expressions are equal, conforming statement C.

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Key Concepts

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

Factorial Notation
Understanding the concept of factorial notation is crucial when dealing with binomial coefficients and other combinatory mathematics. Factorial notation is represented by an exclamation point (!) and is defined as the product of all positive integers up to a given number. For instance, the factorial of 5, denoted as 5!, is calculated as

\[5! = 5 \times 4 \times 3 \times 2 \times 1 = 120.\]
A unique and important case is 0!, which is defined to be 1. This might seem counterintuitive, but it is essential for the consistency of combinatorial formulas like the number of ways to arrange zero objects.
When factorial notation is applied to binomial coefficients, also known in combinatory mathematics as 'choose' numbers, it allows us to determine how many ways we can choose an unordered subset of 'k' elements from a set of 'n' distinct elements. The general expression for these coefficients, using factorial notation, is given by:

\[\left(\begin{array}{c}n \ k\end{array}\right) = \frac{n!}{k!(n-k)!}\]
This notation plays a fundamental role in simplifying mathematical expressions and proving properties of the binomial theorem.
Combinatorics
Combinatorics is a branch of mathematics focused on counting, both as a means to an end and as a pursuit in its own right. It includes studying arrangements of objects according to specified rules. Binomial coefficients, which we see represented within combinatorial problems, are inherently linked to combinatorial concepts; they represent the number of ways we can choose items from a larger set. For instance, when we say \( \left(\begin{array}{c}n \ k\end{array}\right) \), we are referring to the number of ways we can select 'k' elements from a set of 'n' distinct elements without considering the order of selection.

To illustrate, let's consider a set of 3 letters {A, B, C}. The number of ways to select 2 letters would be represented by the binomial coefficient \( \left(\begin{array}{c}3 \ 2\end{array}\right) \). Using factorial notation, we find that this is \( \frac{3!}{2!(3-2)!} = 3 \), meaning there are 3 possible combinations: AB, BC, and CA.
The principles of combinatorics are fundamental for understanding probability, creating efficient algorithms, and solving practical problems in various scientific fields.
Proof of Binomial Theorem Properties
The binomial theorem is a fundamental principle in algebra that describes the algebraic expansion of powers of a binomial. Its properties relate greatly to the coefficients within the expansion, which are the binomial coefficients. Proving these properties often requires an understanding of factorial notation and combinatorics.

Properties of the Binomial Theorem

One property is that the sum of the exponents in each term of the binomial expansion equals the power to which the binomial is raised. Another is that binomial coefficients are symmetrical, which is illustrated in the equation \( \left(\begin{array}{c}n \ k\end{array}\right) = \left(\begin{array}{c}n \ n-k\end{array}\right) \). This equation tells us that choosing 'k' items from 'n' is the same as choosing 'n-k' items from 'n', a fundamental property reflecting the symmetry of the binomial coefficients within Pascal's Triangle, a geometric representation of these coefficients.
To prove these properties mathematically, one often relies on manipulating factorial expressions and employing logical reasoning to show the equality of different forms of binomial coefficients, thereby revealing the deeper relationships and symmetries in combinatorial mathematics. Such proofs are not just mathematical exercises; they provide insight into the underlying structures of mathematical combinations and permutations.

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Most popular questions from this chapter

A doctor knows from experience that \(10 \%\) of the patients to whom she gives a certain drug will have undesirable side effects. Find the probabilities that among the 10 patients to whom she gives the drug: a. At most two will have undesirable side effects. b. At least two will have undesirable side effects.

Can playing video games as a child and teenager lead to a gambling or substance addiction? According to the April \(11,2009, U S A\) Today article "Kids show addiction symptoms," research published in the Journal Psychological Science found that \(8.5 \%\) of video-gameplaying children and teens displayed behavioral signs that may indicate addiction. Suppose a randomly selected group of 30 video-gaming eighth-grade students is selected. a. What is the probability that exactly 2 will display addiction symptoms? b. If the study also indicated that \(12 \%\) of videogaming boys display addiction symptoms, what is the probability that exactly 2 out of the 17 boys in the group will display addiction symptoms? c. If the study also indicated that \(3 \%\) of video-gaming girls display addiction symptoms, what is the probability that exactly 2 out of the 13 girls in the group will display addiction symptoms?

Did you ever buy an incandescent light bulb that failed (either burned out or did not work) the first time you turned the light switch on? When you put a new bulb into a light fixture, you expect it to light, and most of the time it does. Consider 8 -packs of 60 -watt bulbs and let \(x\) be the number of bulbs in a pack that "fail" the first time they are used. If 0.02 of all bulbs of this type fail on their first use and each 8 -pack is considered a random sample, a. List the probability distribution and draw the histogram of \(x.\) b. What is the probability that any one 8 -pack has no bulbs that fail on first use? c. What is the probability that any one 8 -pack has no more than one bulb that fails on first use? d. Find the mean and standard deviation of \(x .\) e. What proportion of the distribution is between \(\mu-\sigma\) and \(\mu+\sigma ?\) f. What proportion of the distribution is between \(\mu-2 \sigma\) and \(\mu+2 \sigma ?\) g. How does this information relate to the empirical rule and Chebyshev's theorem? Explain. h. Use a computer to simulate testing 1008 -packs of bulbs and observing \(x,\) the number of failures per 8 -pack. Describe how the information from the simulation compares with what was expected (answers to parts a-g describe the expected results). i. \(\quad\) Repeat part h several times. Describe how these results compare with those of parts a-g and with part h.

Consider a binomial experiment made up of three trials with outcomes of success, \(S,\) and failure, \(F,\) where \(P(S)=p\) and \(P(F)=q.\) a. Complete the accompanying tree diagram. Label all branches completely. b. In column (b) of the tree diagram, express the probability of each outcome represented by the branches as a product of powers of \(p\) and \(q.\) c. Let \(x\) be the random variable, the number of successes observed. In column (c), identify the value of\(x\) for each branch of the tree diagram. d. Notice that all the products in column (b) are made up of three factors and that the value of the random variable is the same as the exponent for the number\(p .\) Write the equation for the binomial probability function for this situation.

The random variable \(A\) has the following probability distribution: $$\begin{array}{l|ccccc}\hline \mathbf{A} & 1 & 2 & 3 & 4 & 5 \\\P(\boldsymbol{A}) & 0.6 & 0.1 & 0.1 & 0.1 & 0.1 \\\\\hline\end{array}$$ a. Find the mean and standard deviation of \(A .\) b. How much of the probability distribution is within 2 standard deviations of the mean? c. What is the probability that \(A\) is between \(\mu-2 \sigma\) and \(\mu+2 \sigma ?\)

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