Jamming attacks on wireless networks. Refer to the International Journal of Production Economics (Vol. 172, 2016) study of U.S. military jamming attacks on wireless networks used by terrorists, Exercise 1.16 (p. 50). Recall that 80 recent jamming attacks were classified according to network type (WLAN, WSN, or AHN) attacked and number of channels (single- or multi-channel) of the network. The results are summarized in the accompanying table.

Network Type/
Number of Channels

Number of
Jamming Attacks

WLAN / Single

31

WSN / Single

13

AHN / Single

8

WLAN / Multi

14

WSN / Multi

9

AHN / Multi

5

Total

80

a. Construct a Pareto diagram for the data. Interpret the results.

b. Construct a pie chart for network type only. Interpret the results.

Short Answer

Expert verified

a.

b.

Step by step solution

01

Preparing the Pareto diagram

The number of jamming attacks is shown in descending order in the Pareto diagram using the distribution of data as shown below:

Network Type/
Number of Channels

Number of
Jamming Attacks

Cumulative

Percentage

WLAN / Single

31

31

38.75

WLAN / Multi

14

45

56.25

WSN / Single

13

58

72.5

WSN / Multi

9

67

83.75

AHN / Single

8

75

93.75

AHN / Multi

5

80

100

Total

80

The orange line represents the cumulative line which is derived as a percentage in the secondary vertical axis.

02

Formating the pie chart

Through the pie chart, one can find to what extent each network faces jamming attacks compared to the others.The larger the pie slice, the greater the number of jamming attacks; and the smaller the slice, the lesser is the number of jamming attacks.

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Most popular questions from this chapter

Performance-based logistics.Refer to the Journal of Business Logistics(Vol. 36, 2015) study of the factors thatlead to successful performance-based logistics (PBL) projects, Exercise 1.15 (p. 49). Recall that the opinions of a sampleof 17 Department of Defense employees and suppliers weresolicited during interviews. Demographics (current position,organization type, experience) were recorded for each intervieweeand the data are listed in the table below.

a.Find and interpret the mean years of experience for the 17 interviewees.

b.Find and interpret the median years of experience for the 17 interviewees.

c.Find and interpret the mode of the 17 years of experience values.

Interviewee

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Organization

Experience(years)

1

Vice president

Commercial

30

2

Postproduction

Government

15

3

Analyst

Commercial

10

4

Senior manager (mgr.)

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30

5

Support chief

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30

6

Specialist

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25

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9

8

Division chief

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6

9

Item mgr.

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3

10

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25

12

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MRO mgr.

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Question: For any set of data, what can be said about the percentage of the measurements contained in each of the following intervals?

a.xbar- sto xbar+ s

b.xbar- 2sto xbar+ 2s

c.xbar- 3sto xbar+ 3s

STEM experiences for girls. The National Science Foundation (NSF) sponsored a study on girls’ participation in informal science, technology, engineering, or mathematics (STEM) programs. The results of the study were published in Cascading Influences: Long-Term Impacts of Informal STEM Experiences for Girls (March 2013). The researchers sampled 174 young women who recently participated in a STEM program. They used a pie chart to describe the geographic location (urban, suburban, or rural) of the STEM programs attended. Of the 174 STEM participants, 107 were in urban areas, 57 in suburban areas, and 10 in rural areas.

a. Determine the proportion of STEM participants from urban areas.

b. Determine the proportion of STEM participants from suburban areas.

c. Determine the proportion of STEM participants from rural areas.

d. Multiply each proportion in parts a—c by 360 to determine the pie slice size (in degrees) for each location.

e. Use the results, part d, to construct a pie chart for the geographic location of STEM participants.

f. Interpret the pie slice for urban areas.

g. Convert the pie chart into a bar graph. Which, in your opinion, is more informative?

Performance of stock screeners.Investment companies provide their clients with automated tools—called stock screeners—to help them select a portfolio of stocks to invest in. The American Association of Individual Investors (AAII) provides statistics on stock screeners at its Website, www.aaii.com. The next table lists the annualized percentage return on investment (as compared to the Standard & Poor’s 500 Index) for 13 randomly selected stock screeners. (Note:A negative annualized return reflects a stock portfolio that performed worse than the S&P 500.)

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Worldwide Region

Number of credit
card issuers



Asia-Pacific

48


Canada

10


Europe

34


Latin America

29


Middle East/Africa

3


United States

26


Total

150


a. One of the top 150 credit card issuers is selected at random, and the region it serves is determined. What type of data (quantitative or qualitative) is measured?

b. For each region in the table, calculate the percentage of the 150 top credit card issuers that fall into that region.

c. Use the percentages, part b, to construct a relative frequency bar graph for the data summarized in the table.

d. Based on the bar graph, make a statement about the regions that most of the top 150 credit card users serve.

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