/*! 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 18 Show that when \(r=2\) the multi... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

Show that when \(r=2\) the multinomial reduces to the binomial.

Short Answer

Expert verified
When \(r=2\), the multinomial theorem becomes \(\begin{pmatrix}n\\ m_1, m_2 \end{pmatrix}=\frac{n!}{m_1!m_2!}\) with \(m_2=n-m_1\). Replacing \(m_2\) with \(n-m_1\) gives us \(\begin{pmatrix}n\\ m_1, n - m_1 \end{pmatrix}=\frac{n!}{m_1!(n-m_1)!}\), which is equivalent to the binomial theorem \(\binom{n}{m_1}=\frac{n!}{m_1!(n-m_1)!}\). Hence, when \(r=2\), the multinomial reduces to the binomial.

Step by step solution

01

Input \(r=2\) into the Multinomial Theorem

When we input \(r=2\) into the multinomial theorem, we have two types of events (\(m_1\) and \(m_2\)). The multinomial becomes: \[ \begin{pmatrix}n\\ m_1, m_2 \end{pmatrix}=\frac{n!}{m_1!m_2!}. \] Since we have only 2 types of events and the total number of events is \(n\), we can express the relationship between \(m_1\) and \(m_2\) as \[ m_2=n-m_1\]
02

Replace \(m_2\) with \(n - m_1\)

Now that we have expressed the relationship between \(m_1\) and \(m_2\), we will replace \(m_2\) with \(n - m_1\) in the multinomial: \[ \begin{pmatrix}n\\ m_1, n - m_1 \end{pmatrix}=\frac{n!}{m_1!(n-m_1)!}. \]
03

Show Equivalence to the Binomial Theorem

Now let's compare our reduced multinomial to the binomial theorem. We can rewrite the binomial theorem with \(k = m_1\): \[\binom{n}{m_1}=\frac{n!}{m_1!(n-m_1)!}.\] Thus, we have: \[ \begin{pmatrix}n\\ m_1, n - m_1 \end{pmatrix}=\frac{n!}{m_1!(n - m_1)!} = \binom{n}{m_1}. \] So we have shown that when \(r=2\), the multinomial reduces to the binomial.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91Ó°ÊÓ!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Suppose a dic is rolled twice. What are the possible values that the following random variables can take on? (i) The maximum value to appear in the two rolls. (ii) The minimum value to appear in the two rolls. (iii) The sum of the two rolls. (iv) The value of the first roll minus the value of the second roll.

An individual claims to have extrasensory perception (ESP). As a test, a fair coin is flipped ten times, and he is asked to predict in advance the outcome. Our individual gets seven out of ten correct. What is the probability he would have done at least this well if he had no ESP? (Explain why the relevant probability is \(P[X \geq 7\\}\) and not \(P(X=7) .\) )

An urn contains \(n+m\) balls, of which \(n\) are red and \(m\) are black. They are withdrawn from the urn, one at a time and without replacement. Let \(X\) be the number of red balls removed before the first black ball is chosen. We are interested in determining \(E[X]\). To obtain this quantity, number the red balls from 1 to \(n\). Now define the random variables \(X_{i}, i=1, \ldots, n\), by \(X_{i}=\left\\{\begin{array}{ll}1, & \text { if red ball } i \text { is taken before any black ball is chosen } \\ 0, & \text { otherwise }\end{array}\right.\) (a) Express \(X\) in terms of the \(X_{1}\). (b) Find \(E[X]\).

An airline knows that 5 percent of the people making reservations on a certain flight will not show up. Consequently, their policy is to sell 52 tickets for a flight that can only hold 50 passengers. What is the probability that there will be a seat available for cvery passenger that shows up?

Suppose five fair coins are tossed. Let \(E\) be the event that all coins land heads. Define the random variable \(I_{E}\) $$ I_{E}=\left\\{\begin{array}{ll} 1, & \text { if } E \text { occurs } \\ 0, & \text { if } E^{c} \text { occurs } \end{array}\right. $$ For what outcomes in the original sample space does \(I_{E}\) equal 1? What is \(P\left[I_{E}=1\right] ?\)

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.