Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

Suppose x is a binomial random variable with n = 3 and p = .3.

  1. Calculate the value of p(x),role="math" localid="1653657859012" x=0,1,2,3,using the formula for a binomial probability distribution.
  2. Using your answers to part a, give the probability distribution for x in tabular form.

Short Answer

Expert verified

a.p(0)=0.343p(1)=0.441p(2)=0.189p(3)=0.027

b.

X

p(x)

0

0.343

1

0.441

2

0.189

3

0.027

Step by step solution

01

Computation of q

a.

The value of q in a binomial probability distribution, in this context, can be found by subtracting the value of p from 1.Here, the value of n (number of trials) is given. As the value of p (number of successes) is 0.3, subtracting 0.3 from 1, we get 0.7, which is the value of q (number of failures).

02

Computation of p(x)

The value of p(x)is calculated by the formula p(x)=n!x!(nx)!(p)x(q)nx when the value of x is 0:

p(x)=n!x!(n-x)!(p)x(q)nxp(0)=3!0!(30)!(0.3)0(0.7)30=3×2×11(3)!(0.3)0(0.7)3=0.343

The value of p(x) is calculated with the formula p(x)=n!x!(n-x)!(p)x(q)n-x when the value of x is 1:

p(x)=n!x!(n-x)!(p)x(q)n-xp(1)=3!1!(3-1)!(0.3)1(0.7)3-1=3×2×11(2)!(0.3)1(0.7)2=0.441

The value of p(x) is calculated with the formula p(x)=n!x!(nx)!(p)x(q)nx when the value of x is 2:

p(x)=n!x!(nx)!(p)x(q)nxp(2)=3!2!(31)!(0.3)2(0.7)32=3×2×12(1)!(0.3)2(0.7)1=0.189

The value of p(x)is calculated with the formula p(x)=n!x!(nx)!(p)x(q)nx when the value of x is 3:

p(x)=n!x!(nx)!(p)x(q)nxp(3)=3!3!(33)!(0.3)3(0.7)33=3×2×16(0)!(0.3)3(0.7)0=0.027

Therefore, when p(0) is 0.343, p(1) is 0.441, p(2) is 0.189, and p(3) is 0.027.

03

List of probabilities

b.

The values calculated above have been shown below in the form of a table.

x

p(x)

0

0.343

1

0.441

2

0.189

3

0.027

As shown above, when x is replaced by 0, the probability becomes 0.343.

When x is replaced by 1, the probability becomes 0.441.

When x is replaced by 2, the probability becomes0.189, and when x is replaced by 3, the probability becomes 0.027.

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 Vaia!

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

4.133 Suppose xis a random variable best described by a uniform

probability distribution with c= 20 and d= 45.

a. Find f(x)

b. Find the mean and standard deviation of x.

c. Graph f (x) and locate μand the interval μ±2σonthe graph. Note that the probability that xassumes avalue within the interval μ±2σis equal to 1.

If x is a binomial random variable, use Table I in Appendix D to find the following probabilities:

a.for n = 10, p = .4

b.for n = 15, p = .6

c.for n = 5, p = .1

d.for n = 25, p = .7

e.for n = 15, p = .9

f.for n = 20, p = .2

Assume that xis a random variable best described by a uniform distribution with c=10andd=90.

a. Findf(x).

b. Find the mean and standard deviation of x.

c. Graph the probability distribution for xand locate its mean and theintervalon the graph.

d. FindP(x60).

e. FindP(x90).

f. FindP(x80).

g. FindP(μ-σxμ+σ).

h. FindP(x>75).

Variable speed limit control for freeways. A common transportation problem in large cities is congestion on the freeways. In the Canadian Journal of Civil Engineering (January 2013), civil engineers investigated the use of variable speed limits (VSL) to control the congestion problem. A portion of an urban freeway was divided into three sections of equal length, and variable speed limits were posted (independently) in each section. Probability distributions of the optimal speed limits for the three sections were determined. For example, one possible set of distributions is as follows (probabilities in parentheses). Section 1: 30 mph (.05), 40 mph (.25), 50 mph (.25), 60 mph (.45); Section 2: 30 mph (.10), 40 mph (.25), 50 mph (.35), 60 mph (.30); Section 3: 30 mph (.15), 40 mph (.20), 50 mph (.30), 60 mph (.35).

  1. Verify that the properties of a discrete probability distribution are satisfied for Section 1 of the freeway.
  2. Repeat part a for Sections 2 and 3 of the freeway.
  3. Find the probability that a vehicle traveling at the speed limit in Section 1 will exceed 30 mph.
  4. Repeat part c for Sections 2 and 3 of the freeway.

Mailrooms contaminated with anthrax. During autumn 2001, there was a highly publicized outbreak of anthrax cases among U.S. Postal Service workers. In Chance (Spring 2002), research statisticians discussed the problem of sampling mailrooms for the presence of anthrax spores. Let x equal the number of mailrooms contaminated with anthrax spores in a random sample of n mailrooms selected from a population of N mailrooms. The researchers showed that the probability distribution for x is given by the formula P(x)=(kx)(N-kn-x)(Nn)

where k is the number of contaminated mailrooms in the population. (In Section 4.4 we identify this probability distribution as the hypergeometric distribution.) Suppose N = 100, n = 3, and k = 20.

a. Find p(0).

b. Find p(1)

. c. Find p(2).

d. Find p(3)

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.

Sign-up for free