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2.10.7 Data Statistics

Calculate the following values:

Exercise 2.10.5

(Solution on p. 97.)

Sample mean = x =

Exercise 2.10.6

(Solution on p. 97.)

Sample standard deviation = sx =

Exercise 2.10.7

(Solution on p. 97.)

Sample size = n =

2.10.8 Calculations

Use the table in section 2.11.3 to calculate the following values:

Exercise 2.10.8

(Solution on p. 97.)

Median =

Exercise 2.10.9

(Solution on p. 97.)

Mode =

Exercise 2.10.10

(Solution on p. 97.)

First quartile =

Exercise 2.10.11

(Solution on p. 97.)

Second quartile = median = 50th percentile =

Exercise 2.10.12

(Solution on p. 97.)

Third quartile =

Exercise 2.10.13

(Solution on p. 97.)

Interquartile range (IQR) = _____ - _____ = _____

Exercise 2.10.14

(Solution on p. 97.)

10th percentile =

Exercise 2.10.15

(Solution on p. 97.)

70th percentile =

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CHAPTER 2. DESCRIPTIVE STATISTICS

Exercise 2.10.16

(Solution on p. 97.)

Find the value that is 3 standard deviations:

a. Above the mean

b. Below the mean

2.10.9 Box Plot

Construct a box plot below. Use a ruler to measure and scale accurately.

2.10.10 Interpretation

Looking at your box plot, does it appear that the data are concentrated together, spread out evenly, or

concentrated in some areas, but not in others? How can you tell?

75

2.11 Practice 2: Spread of the Data14

2.11.1 Student Learning Outcomes

• The student will calculate measures of the center of the data.

• The student will calculate the spread of the data.

2.11.2 Given

The population parameters below describe the full-time equivalent number of students (FTES) each year

at Lake Tahoe Community College from 1976-77 through 2004-2005. (Source: Graphically Speaking by Bill

King, LTCC Institutional Research, December 2005 ).

Use these values to answer the following questions:

µ = 1000 FTES

• Median - 1014 FTES

σ = 474 FTES

• First quartile = 528.5 FTES

• Third quartile = 1447.5 FTES

• n = 29 years

2.11.3 Calculate the Values

Exercise 2.11.1

(Solution on p. 97.)

A sample of 11 years is taken. About how many are expected to have a FTES of 1014 or above?

Explain how you determined your answer.

Exercise 2.11.2

(Solution on p. 97.)

75% of all years have a FTES:

a. At or below:

b. At or above:

Exercise 2.11.3

(Solution on p. 97.)

The population standard deviation =

Exercise 2.11.4

(Solution on p. 97.)

What percent of the FTES were from 528.5 to 1447.5? How do you know?

Exercise 2.11.5

(Solution on p. 97.)

What is the IQR? What does the IQR represent?

Exercise 2.11.6

(Solution on p. 98.)

How many standard deviations away from the mean is the median?

14This content is available online at <http://cnx.org/content/m17105/1.11/>.

76

CHAPTER 2. DESCRIPTIVE STATISTICS

2.12 Homework15

Exercise 2.12.1

(Solution on p. 98.)

Twenty-five randomly selected students were asked the number of movies they watched the pre-

vious week. The results are as follows:

# of movies

Frequency

Relative Frequency

Cumulative Relative Frequency

0

5

1

9

2

6

3

4

4

1

Table 2.12

a. Find the sample mean x

b. Find the sample standard deviation, s

c. Construct a histogram of the data.

d. Complete the columns of the chart.

e. Find the first quartile.

f. Find the median.

g. Find the third quartile.

h. Construct a box plot of the data.

i. What percent of the students saw fewer than three movies?

j. Find the 40th percentile.

k. Find the 90th percentile.

l. Construct a line graph of the data.

m. Construct a stem plot of the data.

Exercise 2.12.2

The median age for U.S. blacks currently is 30.1 years; for U.S. whites it is 36.6 years. (Source: U.S.

Census)

a. Based upon this information, give two reasons why the black median age could be lower than

the white median age.

b. Does the lower median age for blacks necessarily mean that blacks die younger than whites?

Why or why not?

c. How might it be possible for blacks and whites to die at approximately the same age, but for

the median age for whites to be higher?

Exercise 2.12.3

(Solution on p. 98.)

Forty randomly selected students were asked the number of pairs of sneakers they owned. Let X

= the number of pairs of sneakers owned. The results are as follows:

15This content is available online at <http://cnx.org/content/m16801/1.21/>.

77

X

Frequency

Relative Frequency

Cumulative Relative Frequency

1

2

2

5

3

8

4

12

5

12

7

1

Table 2.13

a. Find the sample mean x

b. Find the sample standard deviation, s

c. Construct a histogram of the data.

d. Complete the columns of the chart.

e. Find the first quartile.

f. Find the median.

g. Find the third quartile.

h. Construct a box plot of the data.

i. What percent of the students owned at least five pairs?

j. Find the 40th percentile.

k. Find the 90th percentile.

l. Construct a line graph of the data

m. Construct a stem plot of the data

Exercise 2.12.4

600 adult Americans were asked by telephone poll, What do you think constitutes a middle-class

income? The results are below. Also, include left endpoint, but not the right endpoint. (Source:

Time magazine; survey by Yankelovich Partners, Inc.)

NOTE: "Not sure" answers were omitted from the results.

Salary ($)

Relative Frequency

< 20,000

0.02

20,000 - 25,000

0.09

25,000 - 30,000

0.19

30,000 - 40,000

0.26

40,000 - 50,000

0.18

50,000 - 75,000

0.17

75,000 - 99,999

0.02

100,000+

0.01

Table 2.14

a. What percent of the survey answered "not sure" ?

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CHAPTER 2. DESCRIPTIVE STATISTICS

b. What percent think that middle-class is from $25,000 - $50,000 ?

c. Construct a histogram of the data

a. Should all bars have the same width, based on the data? Why or why not?

b. How should the <20,000 and the 100,000+ intervals be handled? Why?

d. Find the 40th and 80th percentiles

e. Construct a bar graph of the data

Exercise 2.12.5

(Solution on p. 98.)

Following are the published weights (in pounds) of all of the team members of the San Francisco

49ers from a previous year (Source: San Jose Mercury News)

177; 205; 210; 210; 232; 205; 185; 185; 178; 210; 206; 212; 184; 174; 185; 242; 188; 212; 215; 247; 241;

223; 220; 260; 245; 259; 278; 270; 280; 295; 275; 285; 290; 272; 273; 280; 285; 286; 200; 215; 185; 230;

250; 241; 190; 260; 250; 302; 265; 290; 276; 228; 265

a. Organize the data from smallest to largest value.

b. Find the median.

c. Find the first quartile.

d. Find the third quartile.

e. Construct a box plot of the data.

f. The middle 50% of the weights are from _______ to _______.

g. If our population were all professional football players, would the above data be a sample of

weights or the population of weights? Why?

h. If our population were the San Francisco 49ers, would the above data be a sample of weights

or the population of weights? Why?

i. Assume the population was the San Francisco 49ers. Find:

i. the population mean, µ.

ii. the population standard deviation, σ.

iii. the weight that is 2 standard deviations below the mean.

iv. When Steve Young, quarterback, played football, he weighed 205 pounds. How many

standard deviations above or below the mean was he?

j. That same year, the average weight for the Dallas Cowboys was 240.08 pounds with a standard

deviation of 44.38 pounds. Emmit Smith weighed in at 209 pounds. With respect to his team,

who was lighter, Smith or Young? How did you determine your answer?

Exercise 2.12.6

An elementary school class ran 1 mile in an average of 11 minutes with a standard deviation of

3 minutes. Rachel, a student in the class, ran 1 mile in 8 minutes. A junior high school class ran

1 mile in an average of 9 minutes, with a standard deviation of 2 minutes. Kenji, a student in the

class, ran 1 mile in 8.5 minutes. A high school class ran 1 mile in an average of 7 minutes with a

standard deviation of 4 minutes. Nedda, a student in the class, ran 1 mile in 8 minutes.

a. Why is Kenji considered a better runner than Nedda, even though Nedda ran faster than he?

b. Who is the fastest runner with respect to his or her class? Explain why.

Exercise 2.12.7

In a survey of 20 year olds in China, Germany and America, people were asked the number of

foreign countries they had visited in their lifetime. The following box plots display the results.

index-89_1.png

79

a. In complete sentences, describe what the shape of each box plot implies about the distribution

of the data collected.

b. Explain how it is possible that more Americans than Germans surveyed have been to over eight

foreign countries.

c. Compare the three box plots. What do they imply about the foreign travel of twenty year old

residents of the three countries when compared to each other?

Exercise 2.12.8

One hundred teachers attended a seminar on mathematical problem solving. The attitudes of

a representative sample of 12 of the teachers were measured before and after the seminar. A

positive number for change in attitude indicates that a teacher’s attitude toward math became

more positive. The twelve change scores are as follows:

3; 8; -1; 2; 0; 5; -3; 1; -1; 6; 5; -2

a. What is the average change score?

b. What is the standard deviation for this population?

c. What is the median change score?

d. Find the change score that is 2.2 standard deviations below the mean.

Exercise 2.12.9

(Solution on p. 99.)

Three students were applying to the same graduate school. They came from schools with different

grading systems. Which student had the best G.P.A. when compared to his school? Explain how

you determined your answer.

Student

G.P.A.

School Ave. G.P.A.

School Standard Deviation

Thuy

2.7

3.2

0.8

Vichet

87

75

20

Kamala

8.6

8

0.4

Table 2.15

index-90_1.png

index-90_2.png

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CHAPTER 2. DESCRIPTIVE STATISTICS

Exercise 2.12.10

Given the following box plot:

a. Which quarter has the smallest spread of data? What is that spread?

b. Which quarter has the largest spread of data? What is that spread?

c. Find the Inter Quartile Range (IQR).

d. Are there more data in the interval 5 - 10 or in the interval 10 - 13? How do you know this?

e. Which interval has the fewest data in it? How do you know this?

I. 0-2

II. 2-4

III. 10-12

IV. 12-13

Exercise 2.12.11

Given the following box plot:

a. Think of an example (in words) where the data might fit into the above box plot. In 2-5 sen-

tences, write down the example.

b. What does it mean to have the first and second quartiles so close together, while the second to

fourth quartiles are far apart?

Exercise 2.12.12

Santa Clara County, CA, has approximately 27,873 Japanese-Americans. Their ages are as follows.

(Source: West magazine)

Age Group

Percent of Community

0-17

18.9

18-24

8.0

25-34

22.8

35-44

15.0

45-54

13.1

55-64

11.9

65+

10.3

Table 2.16

a. Construct a histogram of the Japanese-American community in Santa Clara County, CA. The

bars will not be the same width for this example. Why not?

index-91_1.png

81

b. What percent of the community is under age 35?

c. Which box plot most resembles the information above?

Exercise 2.12.13

Suppose that three book publishers were interested in the number of fiction paperbacks adult

consumers purchase per month. Each publisher conducted a survey. In the survey, each asked

adult consumers the number of fiction paperbacks they had purchased the previous month. The

results are below.

Publisher A

# of books

Freq.

Rel. Freq.

0

10

1

12

2

16

3

12

4

8

5

6

6

2

8

2

Table 2.17

82

CHAPTER 2. DESCRIPTIVE STATISTICS

Publisher B

# of books

Freq.

Rel. Freq.

0

18

1

24

2

24

3

22

4

15

5

10

7

5

9

1

Table 2.18

Publisher C

# of books

Freq.

Rel. Freq.

0-1

20

2-3

35

4-5

12

6-7

2

8-9

1

Table 2.19

a. Find the relative frequencies for each survey. Write them in the charts.

b. Using either a graphing calculator, computer, or by hand, use the frequency column to construct

a histogram for each publisher’s survey. For Publishers A and B, make bar widths of 1. For

Publisher C, make bar widths of 2.

c. In complete sentences, give two reasons why the graphs for Publishers A and B are not identical.

d. Would you have expected the graph for Publisher C to look like the other two graphs? Why or

why not?

e. Make new histograms for Publisher A and Publisher B. This time, make bar widths of 2.

f. Now, compare the graph for Publisher C to the new graphs for Publishers A and B. Are the

graphs more similar or more different? Explain your answer.

Exercise 2.12.14

Often, cruise ships conduct all on-board transactions, with the exception of gambling, on a cash-

less basis. At the end of the cruise, guests pay one bill that covers all on-board transactions. Sup-

pose that 60 single travelers and 70 couples were surveyed as to their on-board bills for a seven-day

cruise from Los Angeles to the Mexican Riviera. Below is a summary of the bills for each group.

83

Singles

Amount($)

Frequency

Rel. Frequency

51-100

5

101-150

10

151-200

15

201-250

15

251-300

10

301-350

5

Table 2.20

Couples

Amount($)

Frequency

Rel. Frequency

100-150

5

201-250

5

251-300

5

301-350

5

351-400

10

401-450

10

451-500

10

501-550

10

551-600

5

601-650

5

Table 2.21

a. Fill in the relative frequency for each group.

b. Construct a histogram for the Singles group. Scale the x-axis by $50. widths. Use relative

frequency on the y-axis.

c. Construct a histogram for the Couples group. Scale the x-axis by $50. Use relative frequency on

the y-axis.

d. Compare the two graphs:

i. List two similarities between the graphs.

ii. List two differences between the graphs.

iii. Overall, are the graphs more similar or different?

e. Construct a new graph for the Couples by hand. Since each couple is paying for two indi-

viduals, instead of scaling the x-axis by $50, scale it by $100. Use relative frequency on the

y-axis.

f. Compare the graph for the Singles with the new graph for the Couples:

i. List two similarities between the graphs.

ii. Overall, are the graphs more similar or different?

index-94_1.png

84

CHAPTER 2. DESCRIPTIVE STATISTICS

i. By scaling the Couples graph differently, how did it change the way you compared it to the

Singles?

j. Based on the graphs, do you think that individuals spend the same amount, more or less, as

singles as they do person by person in a couple? Explain why in one or two complete sen-

tences.

Exercise 2.12.15

(Solution on p. 99.)

Refer to the following histograms and box plot. Determine which of the following are true and

which are false. Explain your solution to each part in complete sentences.

a. The medians for all three graphs are the same.

b. We cannot determine if any of the means for the three graphs is different.

c. The standard deviation for (b) is larger than the standard deviation for (a).

d. We cannot determine if any of the third quartiles for the three graphs is different.

Exercise 2.12.16

Refer to the following box plots.

index-95_1.png

85

a. In complete sentences, explain why each statement is false.

i. Data 1 has more data values above 2 than Data 2 has above 2.

ii. The data sets cannot have the same mode.

iii. For Data 1, there are more data values below 4 than there are above 4.

b. For which group, Data 1 or Data 2, is the value of “7” more likely to be an outlier? Explain why

in complete sentences

Exercise 2.12.17

(Solution on p. 99.)

In a recent issue of the IEEE Spectrum, 84 engi