Cell phone handoff behavior. Refer to the Journal of Engineering, Computing and Architecture (Vol. 3., 2009) study of cell phone handoff behavior, Exercise 3.47 (p. 183). Recall that a “handoff” describes the process of a cell phone moving from one base channel (identified by a color code) to another. During a particular driving trip, a cell phone changed channels (color codes) 85 times. Color code “b” was accessed 40 times on the trip. You randomly select 7 of the 85 handoffs. How likely is it that the cell phone accessed color code “b” only twice for these 7 handoffs?

Short Answer

Expert verified

19.31% is not most likely to have the cell phone accessed colorcode b only twice.

Step by step solution

01

Given information

Refer to the Journal of Engineering Computing and Architecture (Vol. 3., 2009), on a particular driving trip, a cell phone changes the channels (color codes) 85 times, i.e., N is 85, color code b was accessed 40 times on the trip, i.e., r is 40, and select 7 of the 85 handoffs are randomly selected, that is n is 7.

02

Calculate the probability that the cell phone accessed color code b only twice

The random variable x is the number of times the cell phone accessed color code b

Here, x follows a hypergeometric distribution withN=85,n=7andr=40

The probability mass function of x is given by,

role="math" localid="1659709074655" Px=rxN-rn-xNn

So,

x=2

Px=2=40285-407-2857=402455857=780×12217594935847320=9529720204935847320

=0.1930716160.1931

Px=2=0.1931

Thus, the probability that the cell phone accessed color code b is only 0.1931.

Therefore, it is not very likely that the cell phone accessed colorcode b only twice because there is only a 19.31% chance of occurring.

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Most popular questions from this chapter

Checkout lanes at a supermarket. A team of consultants working for a large national supermarket chain based in the New York metropolitan area developed a statistical model for predicting the annual sales of potential new store locations. Part of their analysis involved identifying variables that influence store sales, such as the size of the store (in square feet), the size of the surrounding population, and the number of checkout lanes. They surveyed 52 supermarkets in a particular region of the country and constructed the relative frequency distribution shown below to describe the number of checkout lanes per store, x.

a. Why do the relative frequencies in the table represent the approximate probabilities of a randomly selected supermarket having x number of checkout lanes?

b. FindE(x) and interpret its value in the context of the problem.

c. Find the standard deviation of x.

d. According to Chebyshev’s Rule (Chapter 2, p. 106), what percentage of supermarkets would be expected to fall withinμ±σ? withinμ±2σ?

e. What is the actual number of supermarkets that fall within? ? Compare your answers with those of part d. Are the answers consistent?

If x is a binomial random variable, calculate , , and for each of the following:

  1. n = 25, p = .5
  2. n = 80, p = .2
  3. n = 100, p = .6
  4. n = 70, p = .9
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4.126 Wear-out of used display panels.Wear-out failure time ofelectronic components is often assumed to have a normaldistribution. Can the normal distribution be applied to thewear-out of used manufactured products, such as coloreddisplay panels? A lot of 50 used display panels was purchasedby an outlet store. Each panel displays 12 to 18 colorcharacters. Prior to the acquisition, the panels had been usedfor about one-third of their expected lifetimes. The data inthe accompanying table (saved in the file) give the failuretimes (in years) of the 50 used panels. Use the techniquesof this section to determine whether the used panel wear-outtimes are approximately normally distributed.

0.01 1.21 1.71 2.30 2.96 0.19 1.22 1.75 2.30 2.98 0.51

1.24 1.77 2.41 3.19 0.57 1.48 1.79 2.44 3.25 0.70 1.54

1.88 2.57 3.31 0.73 1.59 1.90 2.61 1.19 0.75 1.61 1.93

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The Apprenticecontestants’ performance ratings. Referto the Significance(April 2015) study of contestants’ performanceson the United Kingdom’s version of the TVshow, The Apprentice, Exercise 2.9 (p. 73). Recall thatthe performance of each of 159 contestants was rated ona 20-point scale. Contestants were also divided into twogroups: those who played for a job and those who playedfor a businesspartnership. These data (simulated, based onstatistics reportedin the article) are saved in the accompanyingfile. Descriptive statistics for each of the two groupsof contestants are displayed in the accompanying Minitabprintout.

a. Determine whether the performance ratings of contestantswho played for a job are approximately normallydistributed.

b. Determine whether the performance ratings of contestantswho played for a business partnership are approximatelynormally distributed.

Descriptive Statistics: Rating

Variable Rating

Price

N

Mean

St.Dev

Minimum

Q

1

median

Q3

Maximum

IQ

R

Job

99

7.879

4.224

1

4

9

11

20

7

Partner

60

8.883

4.809

1

5

8

12

20

7

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