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Working on summer vacation. Recall (Exercise 3.13, p. 169) that a Harris Interactive (July 2013) poll found that 22% of U.S. adults do not work at all while on summer vacation. In a random sample of 10 U.S. adults, let x represent the number who do not work during summer vacation.

a. For this experiment, define the event that represents a 鈥渟uccess.鈥

b. Explain why x is (approximately) a binomial random variable.

c. Give the value of p for this binomial experiment.

d. Find P(x=3)

e. Find the probability that 2 or fewer of the 10 U.S. adults do not work during summer vacation.

Short Answer

Expert verified

a. Success represents adults who do not work in the summer.

b. The binomial random variable x is the number of successes in n trials

c. p=0.22

d. P ( x = 3 ) = 0.22444

e 0.6169.

Step by step solution

01

Given information

The poll found that 61% of the respondents work during the summer vacation, 22% does not work at all while on vacation, and 17% were unemployed.

In a random sample of 10 U.S. adults, let x represent the number who do not work during summer vacation.

02

Defining the event of success

a.

Here let X is the random variable

According to the question, the event of success is defined as the adults who do not work in summer vacation.

03

Explaining x is a binomial

b.

There are only two possible outcomes

  1. Adults who do not work in summer vacation (success).
  2. Adults who do work in summer vacation (failure).

The binomial random variable x is the number of successes in n trials

04

The value of p for this binomial experiment

c.

Here,

p= probability of success

p= probability that adults do not work in summer vacation

Therefore

p = 22%

=0.22

Thus, x=0.22.

05

Finding value of P(x=3)

d.

When

n=10x=3Px=3=nxpx1-pn-x=1030.2231-0.227=120x0.010648x0.1756556885=0.22444Thus,Px=3=0.22444

06

Finding the probability that 2 or fewer of the 10 U.S. adults do not work during summer vacation

e.

When WhenPx2Px2=Px=1+Px=2=101p11-p10-1x102p21-p10-2=10x0.22x0.789x45x0.222x0.788=0.6169,

Thus, the required probability is 0.6169.

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