/*! 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} Q16E Some parts of California are par... [FREE SOLUTION] | ÷ÈÓ°Ö±²¥

÷ÈÓ°Ö±²¥

Some parts of California are particularly earthquake prone. Suppose that in one metropolitan area, 25% of all homeowners are insured against earthquake damage. Four homeowners are to be selected at random; let X

denote the number among the four who have earthquake insurance.

a. Find the probability distribution of X. (Hint: Let S denote a homeowner who has insurance and F one who does not. Then one possible outcome is SFSS,

with probability (.25)(.75)(.25)(.25) and associated X value 3. There are 15 other outcomes.)

b. Draw the corresponding probability histogram.

c. What is the most likely value for X?

d. What is the probability that at least two of the four selected have earthquake insurance?

Short Answer

Expert verified

a.

X

P(X)

0

0.3164

1

0.4220

2

0.2109

3

0.0468

4

0.0039

b.

c. 0.2616

Step by step solution

01

Given information

The four homeowners are selected at random to check whether they have an earthquake insurance or not. Consider S denote a homemaker who has insurance while F denote a homemaker who do not insurance. The probability of S is 0.25 and for F, it is 0.75.

02

Determine the probability distribution of\(X\).

Consider\(X\)to be the number of homeowners who insured against earthquake. As the homemaker who has earthquake insurance is denoted by S while the homemaker who do not have an insurance is denoted by S. Following are the possible outcomes of random variable\(X\):

\({\rm{Sample}}\,{\rm{space}} = \left\{ \begin{array}{l}\left( {SSSS} \right),\left( {SSSF} \right),\left( {SSFF} \right),\left( {SFFF} \right),\\\left( {SFFS} \right),\left( {SFSF} \right),\left( {SSFS} \right),\left( {SFSS} \right),\\\left( {FSSS} \right),\left( {FFSF} \right),\left( {FSFS} \right),\left( {FSSF} \right),\\\left( {FSSS} \right),\left( {FFSS} \right),\left( {FFFS} \right),\left( {FFFF} \right)\end{array} \right\}\)

When the value of\(X\)is 0 it means no one out of four homeowners have earthquake insurance. There is one outcome i.e. FFFF out of 16 outcomes that fulfil the above condition.

\(\begin{aligned}P\left( {X = 0} \right) &= P\left( {FFFF} \right)\\ &= {\left( {0.75} \right)^4}\\ &= 0.3164\end{aligned}\)

When the value of\(X\)is 1 it means one out of four homeowners have earthquake insurance. There are four outcomes i.e. FFFS, FFSF, FSFF, SFFF out of 16 outcomes that fulfil the above condition.

\(\begin{aligned}P\left( {X = 1} \right) &= P\left( {FFFS} \right) + P\left( {FFSF} \right) + P\left( {FSFF} \right) + P\left( {SFFF} \right)\\ &= \left( \begin{array}{c}{\left( {0.75} \right)^3}\left( {0.25} \right) + {\left( {0.75} \right)^3}\left( {0.25} \right) + {\left( {0.75} \right)^3}\left( {0.25} \right)\\ + {\left( {0.75} \right)^3}\left( {0.25} \right)\end{array} \right)\\ &= 0.1055 \times 4\\ &= 0.4220\end{aligned}\)

When the value of\(X\)is 2 it means two out of four homeowners have earthquake insurance. There are six outcomes i.e. FFSS, SSFF, FSFS, SFSF, FSSF and SFFS out of 16 outcomes that fulfil the above condition.

\(\begin{aligned}P\left( {X = 2} \right) &= \left( \begin{array}{c}P\left( {FFSS} \right) + P\left( {SSFF} \right) + P\left( {FSFS} \right)\\ + P\left( {SFSF} \right) + P\left( {FSSF} \right) + P\left( {SFFS} \right)\end{array} \right)\\ &= \left( \begin{array}{c}{\left( {0.75} \right)^2}{\left( {0.25} \right)^2} + {\left( {0.75} \right)^2}{\left( {0.25} \right)^2} + {\left( {0.75} \right)^2}{\left( {0.25} \right)^2}\\ + {\left( {0.75} \right)^2}{\left( {0.25} \right)^2} + {\left( {0.75} \right)^2}{\left( {0.25} \right)^2} + {\left( {0.75} \right)^2}{\left( {0.25} \right)^2}\end{array} \right)\\ &= 0.03516 \times 6\\ &= 0.2109\end{aligned}\)

When the value of\(X\)is 3 it means three out of four homeowners have earthquake insurance. There are four outcomes i.e. FFSS, SSFF, FSFS, SFSF, FSSF and SFFS out of 16 outcomes that fulfil the above condition.

\(\begin{aligned}P\left( {X = 3} \right) &= \left( \begin{array}{c}P\left( {FSSS} \right) + P\left( {SFSS} \right)\\ + P\left( {SSFS} \right) + P\left( {SSSF} \right)\end{array} \right)\\ &= \left( \begin{array}{l}\left( {0.75} \right){\left( {0.25} \right)^3} + \left( {0.75} \right){\left( {0.25} \right)^3}\\ + \left( {0.75} \right){\left( {0.25} \right)^3} + \left( {0.75} \right){\left( {0.25} \right)^3}\end{array} \right)\\& = 0.01172 \times 4\\ &= 0.0468\end{aligned}\)

When the value of\(X\)is 4 it means four out of four homeowners have earthquake insurance. There is one outcome i.e. SSSS out of 16 outcomes that fulfil the above condition.

\(\begin{aligned}P\left( {X = 4} \right) &= P\left( {SSSS} \right)\\ &= {\left( {0.25} \right)^4}\\ &= 0.0039\end{aligned}\)

The probability distribution of\(X\)is given as,

X

P(X)

0

0.3164

1

0.4220

2

0.2109

3

0.0468

4

0.0039

03

Construct a probability histogram for random variable\(X\)

Following are the steps to construct a probability histogram:

  1. Draw two axes in x-y Cartesian plane.
  2. The scale of X-axis represent the possible value of\(X\)and the scale of Y-axis represent the pmf of each value.
  3. Label the marks and give names to the horizontal and vertical axes.
  4. Create bars for each value of pmf w.r.t to the value of\(X\). The height of each bar correspond to the pmf value.

04

Compute the most likely value of random variable

In this, the most likely value of\(X\)is obtained by using the expected value or mean formula as below:

\(E\left( {X = x} \right) = \sum\limits_{x = 0}^4 {xp\left( x \right)} \)

So, the required value is obtained as:

\(\begin{aligned}E\left( {X = x} \right) &= \left( \begin{array}{l}\left( {0 \times 0.3164} \right) + \left( {1 \times 0.4220} \right) + \left( {2 \times 0.2109} \right)\\ + \left( {3 \times 0.0468} \right) + \left( {4 \times 0.0039} \right)\end{array} \right)\\ &= \left( {0 + 0.4220 + 0.4218 + 0.1404 + 0.0156} \right)\\ &= 0.9998\\ \approx 1\end{aligned}\)

Therefore, the most likely value of\(X\)is 1.

05

Compute the probability that at two homeowners have earthquake insurance

In this, the required probability is\(P\left( {X \ge 2} \right)\)as two out of four homeowners have earthquake insurance. It can be computed as,

\(P\left( {X \ge 2} \right) = P\left( {X = 2} \right) + P\left( {X = 3} \right) + P\left( {X = 4} \right)\)

Substitute the value of\(P\left( {X = 2} \right) = 0.2109\),\(P\left( {X = 3} \right) = 0.0468\)and\(P\left( {X = 4} \right) = 0.0039\)in the above formula:

\(\begin{aligned}P\left( {X \ge 2} \right) &= 0.2109 + 0.0468 + 0.0039\\ &= 0.2616\end{aligned}\)

Therefore, the required probability is 0.2616.

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 ÷ÈÓ°Ö±²¥!

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

Many manufacturers have quality control programs that include inspection of incoming materials for defects. Suppose a computer manufacturer receives circuit boards in batches of five. Two boards are selected from each batch for inspection. We can represent possible outcomes

of the selection process by pairs. For example, the pair (1, 2) represents the selection of boards 1 and 2 for inspection.

a. List the ten different possible outcomes.

b. Suppose that boards 1 and 2 are the only defective boards in a batch. Two boards are to be chosen at random. Define X to be the number of defective boards observed among those inspected. Find the probability distribution of X.

c. Let F(x) denote the cdf of X. First determine \(F\left( 0 \right) = P\left( {X \le 0} \right)\), F(1), and F(2); then obtain F(x) for allother x.

Each time a component is tested, the trial is a success (S) or failure (F). Suppose the component is tested repeatedly until a success occurs on three consecutive trials. Let Y denote the number of trials necessary to achieve this. List all outcomes corresponding to the five smallest possible values of Y, and state which Y value is associated with each one.

a. For fixed n, are there values of p(\({\rm{0}} \le {\rm{p}} \le {\rm{1}}\)) for which V(X) \({\rm{ = 0}}\)? Explain why this is so? b. For what value of p is V(X) maximized? (Hint: Either graph V(X) as a function of p or else take a derivative.)

Two fair six-sided dice are tossed independently. Let M = the maximum of the two tosses (so M(1,5) =5, M(3,3) = 3, etc.).

a. What is the pmf of M? (Hint: First determine p(1), then p(2), and so on.)

b. Determine the cdf of M and graph it.

Grasshoppers are distributed at random in a large field according to a Poisson process with parameter a \({\rm{\alpha = 2}}\) per square yard. How large should the radius \({\rm{R}}\) of a circular sampling region be taken so that the probability of finding at least one in the region equals \({\rm{.99}}\)?

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.