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Voltage sags and swells.Refer to the Electrical Engineering(Vol. 95, 2013) study of power quality (measured by“sags” and “swells”) in Turkish transformers, Exercise 2.96(p. 116). For a sample of 103 transformers built for heavyindustry, the mean and standard deviation of the numberof sags per week were 353 and 30, respectively; also, themean and standard deviation of the number of swells perweek were 184 and 25, respectively. Consider a transformerthat has 400 sags and 100 swells in a week.

a.Would you consider 400 sags per week unusual, statistically? Explain.

b.Would you consider 100 swells per week unusual, statistically? Explain.

Short Answer

Expert verified

(a) Not unusual

(b) Unusual

Step by step solution

01

Determining whether 400 sags per week is unusual or not

To check whether 400 sags per week is unusual or not, we will calculate the z=Value-MeanStandarddeviation=400-35330=4730=1.566

According to the z score value,400 sags per week is not unusual because z < 3.z-score values higher than 3 are unusual.

02

Interpreting whether 100 swells per week is unusual or not

To verify whether 100 swells per week is unusual or not, we will calculate the z=Value-MeanStandarddeviation=100-18425=-8425=-3.36

Based on the z score value,100 swells per week is unusualbecause it lies outside the standard deviation range where most of the observations lie.

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Most popular questions from this chapter

Top credit card issuers, by region. The Nilson Report (December 2015) published a list of the top 150 credit card issuers worldwide. The issuers (e.g., American Express, MasterCard, Visa) were ranked based on outstanding debt during the year. The table gives a breakdown of the regions in the world served by the top 150 credit card issuers.

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.

Explain how the relationship between the mean and median provides information about the symmetry or skewness of the data’s distribution.

Calculate the range, variance, and standard deviation for the following samples:

a.39, 42, 40, 37, 41

b.100, 4, 7, 96, 80, 3, 1, 10, 2

c.100, 4, 7, 30, 80, 30, 42, 2

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

Calculate the variance and standard deviation for samples where

a.n= 10, ∑x2 = 84, ∑x= 20

b.n= 40, ∑x2 = 380, ∑x= 100

c.n= 20, ∑x2 = 18, ∑x= 17.

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