Active nuclear power plants.Refer to Exercise 2.54 (p. 98) and the Nuclear Energy Institute’s data on the number of nuclear power plants operating in each of 30 states.

a.Find the range, variance, and standard deviation of this data set.

b.Eliminate the largest value from the data set and repeat part a.What effect does dropping this measurement have on the measures of variation found in part a?

c.Eliminate the smallest and largest value from the data set and repeat part a. What effect does dropping both of these measurements have on the measures of variation found in part a?

State

Status

Number of Power Plants

Alabama

Regulated

2

Arizona

Regulated

1

Arkansas

Regulated

1

California

Regulated

1

Connecticut

Deregulated

1

Florida

Regulated

3

Georgia

Regulated

2

Illinois

Deregulated

6

Iowa

Deregulated

1

Kansas

Regulated

1

Louisiana

Regulated

2

Maryland

Deregulated

1

Massachusetts

Deregulated

1

Michigan

Deregulated

3

Minnesota

Regulated

2

Mississippi

Regulated

1

Missouri

Regulated

1

Nebraska

Regulated

2

New Hampshire

Deregulated

1

New Jersey

Deregulated

3

New York

Deregulated

4

North Carolina

Regulated

3

Ohio

Deregulated

2

Pennsylvania

Deregulated

5

South Carolina

Regulated

4

Tennessee

Regulated

2

Texas

Deregulated

2

Virginia

Regulated

2

Washington

Regulated

1

Wisconsin

Deregulated

1

Short Answer

Expert verified

Answer:

  1. Range = 5, Variance = 1.72, Standard deviation = 1.31
  2. Range = 4, Variance = 1.21, Standard deviation = 1.1
  3. Range = 5, Variance = 1.22, Standard deviation = 1.1

Step by step solution

01

Finding the range, variance, and standard deviation

Range=Max-Min=6-1=5

Mean=SumofallpowerplantsNo.ofstates=2+1+1+1+1+3+2+6+1+1+2+1+1+3+2+1+1+2+1+3+4+3+2+5+4+2+2+2+1+130=6230=2.066

Variance=x-x¯2n-1=49.8666829=1.72

StandardDeviation=Variance=1.72=1.31

02

Removing the largest and the smallest value and repeating Step 1

Range=Max-Min=5-1=4

Mean=SumofallpowerplantsNo.ofstates=2+1+1+1+1+3+2+1+1+2+1+1+3+2+1+1+2+1+3+4+3+2+5+4+2+2+2+1+129=5629=1.93

Variance=x-x¯2n-1=34.3928=1.21

Standarddeviation=Variance=1.21=1.1

When the largest value is removed, the variance and the standard deviation decrease. This indicates the impact of outliers on the distribution.

03

Removing the largest value and repeating Step 1

Range=Max-Min=5-1=4

Mean=SumofallpowerplantsNo.ofstates=5528=1.96

Variance=x-x¯n-1=32.9627=1.22

StandardDeviation=Variance=1.22=1.1

When the largest and the smallest values are removed from the data, the variance and the standard deviation reduce.

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Most popular questions from this chapter

Hotels’ use of ecolabels.Ecolabels such as Energy Star, Green Key, and Audubon Internationalare used by hotels to advertise their energy-saving and conservation policies. The Journal of Vacation Marketing(January 2016) published a study to investigate how familiar travelers are with these ecolabels and whether travelers believe they are credible. A sample of 392 adult travelers were administered a questionnaire. One question showed a list of 6 different eco-labels, and asked, “How familiar are you with this ecolabel, on a scale of 1 (not familiar at all) to 5 (very familiar).” Summarized results for the numerical responses are given in the table.

a.Give a practical interpretation of the mean response for Energy Star.

b.Give a practical interpretation of the median response for Energy Star.

c.Give a practical interpretation of the response mode for Energy Star.

d.Based on these summary statistics, which ecolabel appears to be most familiar to travelers?

Ecolabel

Mean

Median

Mode

Energy Star

4.44

5

5

TripAdvisor

3.57

4

4

Green Leaders Audubon

2.41

2

1

International U.S Green

2.28

2

1

Building Council Green Business

2.25

2

1

Green Key

2.01

1

1

In terms of percentiles, define QL, QM and QU

U.S. business bankruptcies.The American Bankruptcy Institute and the National Bankruptcy Research Center monitor the number of business bankruptcy filings each quarter. The table below lists the number of business bankruptcy filings for each quarter of a recent 2-year period. FILING

a.Explain why the data in the table represent time series data.

b.Construct a time series plot for the quarterly number of bankruptcy filings.

c.Do you detect a trend in the time series plot? Explain.

Year

Quarter

Number of

Bankruptcies

2011

1

2

3

4

12,376

12,304

11,705

11,149

2012

1

2

3

4

10,998

10,374

9,248

9,231

Rankings of research universities.Based on factors (e.g., academic reputation, financial aid offerings, overall cost, and success of graduates in the post-college job market) that actual college freshmen said were most important to their college decision, College Choice developed their 2015 Rankings of National Research Universities. Data for the top 50 universities are saved in the TOPUNIVfile. Several are listed in the accompanying table above.

a) The average financial aid awarded values were determined by recording the financial aid awarded to each freshman who attended the university in 2015. Does this statistic represent a population or sample mean? Interpret this value for Harvard University.

b) The median salary during early career values were determined by recording the salaries of a random selection of alumni with 0 to 5 years of experience. Does this statistic represent a population or sample median? Interpret this value for Harvard University.

Rank

University

Public/

Private

Academic Reputation Score

(100 pt. scale)

Average Financial Aid Awarded

Average Net Cost Attend

Median Salary During Early Career

% High Meaning

%Stem Degrees

1

Harvard University

Private

99

\(41,555

\)14,455

\(61,400

65%

28%

5

Yale University

Private

97

\)39,771

\(18,479

\)60,300

68%

21%

20

University of

California Berkeley

Public

79

\(16,141

\)16,178

\(59,500

50%

31%

23

University of Virginia

Public

76

\)16,834

\(12,672

\)54,700

52%

24%

27

Carnegie Mellon

University

Private

76

\(24,263

\)33,257

\(64,700

46%

51%

47

Pepperdine University

Private

60

\)29,926

\(25,345

\)48,300

51%

4%

Motivation of drug dealers.Consider a study of drug dealers and their motivation for participating in the illegal drug market (Applied Psychology in Criminal Justice, September 2009). The sample consisted of 100 convicted drug dealers who attended a court-mandated counseling program. Each dealer was scored on the Wanting Recognition (WR) Scale, which provides a quantitative measure of a person’s level of need for approval and sensitivity to social situations. (Higher scores indicate a greater need for approval.) The sample of drug dealers had a mean WR score of 39, with a standard deviation of 6. Assume the distribution of WR scores for drug dealers is mound-shaped and symmetric.

a.Give a range of WR scores that will contain about 95% of the scores in the drug dealer sample.

b.What proportion of the drug dealers had WR scores above 51?

c.Give a range of WR sores that contain nearly all the scores in the drug dealer sample.

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