# Chapter 01 The number observations in a complete data set having 10 elements

Document Type
Test Prep
Book Title
Essentials of Modern Business Statistics 4th (Fourth) Edition By Williams 4th Edition
Authors
J.K
CHAPTER ONE
DATA AND STATISTICS
MULTIPLE CHOICE QUESTIONS
In the following multiple choice questions, circle the correct answer.
1. The number observations in a complete data set having 10 elements and 5 variables is
a. 5
b. 10
c. 25
d. 50
2. Which of the following is an example of qualitative data?
a. a social security number
b. a score on a multiple-choice exam
c. the height, in meters, of a diving board
d. the number of square feet of carpet
3. Which of the following is not an example of descriptive statistics?
a. a histogram depicting the age distribution for 30 randomly selected students
b. an estimate of the number of Alaska residents who have visited Canada
c. a table summarizing the data collected in a sample of new-car buyers
d. the proportion of mailed-out questionnaires that were returned
4. Which of the following is an example of quantitative data?
a. the player’s number on a baseball uniform
b. the serial number on a one-dollar bill
c. the part number of an inventory item
d. the number of people in a waiting line
5. Facts and figures that are collected, analyzed and summarized for presentation and
interpretation are
a. data
b. variables
c. elements
d. Both variables and elements are correct.
6. The entities on which data are collected are
a. elements
b. populations
c. sets
d. samples
7. The set of measurements collected for a particular element is (are) called
a. census
b. variables
c. observations
d. samples
8. A characteristic of interest for the elements is called a(n)
a. sample
b. data set
c. variable
d. observation
9. All the data collected in a particular study are referred to as the
a. census
b. inference
c. variable
d. data set
10. In a data set, the number of observations will always be the same as the number of
a. variables
b. elements
c. data sets
d. data
11. Which of the following is NOT a scale of measurement?
a. nominal
b. ordinal
c. interval
d. All of these are scales of measurement.
12. When the data are labels or names used to identify an attribute of the elements, the
variable has which scale of measurement?
a. nominal
b. ordinal
c. interval
d. ratio
13. When the data are labels or names used to identify an attribute of the elements and the
rank of the data is meaningful, the variable has which scale of measurement?
a. nominal
b. ordinal
c. interval
d. ratio
14. When the data have the properties of ordinal data and the interval between observations is
expressed in terms of a fixed unit of measure, the variable has which scale of
measurement?
a. nominal
b. ordinal
c. interval
d. ratio
15. When the data have the properties of interval data and the ratio of two values is
meaningful, the variable has which scale of measurement?
a. nominal
b. ordinal
c. interval
d. ratio
16. Which scale of measurement can be either numeric or nonnumeric?
a. nominal
b. ordinal
c. interval
d. nominal and ordinal
17. Which of the following variables use the interval scale of measurement?
a. name of stock exchange
b. time
c. SAT scores
d. Social Security number
18. Which of the following variables uses the ratio scale of measurement?
a. name of stock exchange
b. time
c. SAT score
d. Social Security number
19. Quantitative data
a. are always nonnumeric
b. may be either numeric or nonnumeric
c. are always numeric
d. are always labels
20. Categorical data
a. are always nonnumeric
b. may be either numeric or nonnumeric
c. are always numeric
d. indicate either how much or how many
21. Categorical data
a. indicate either how much or how many
b. can not be numeric
c. are labels used to identify attributes of elements
d. must be nonnumeric
22. Ordinary arithmetic operations are meaningful
a. only with categorical data
b. only with quantitative data
c. either with quantitative or categorical data
d. with rank data
23. Arithmetic operations are inappropriate for
a. categorical data
b. quantitative data
c. both categorical and quantitative data
d. large data sets
24. In a questionnaire, respondents are asked to mark their gender as male or female. Gender
is an example of a
a. categorical variable
b. quantitative variable
c. categorical or quantitative variable, depending on how the respondents answered
the question
d. ratio variable
25. In a questionnaire, respondents are asked to record their age in years. Age is an example
of a
a. categorical variable
b. quantitative variable
c. categorical or quantitative variable, depending on how the respondents answered
the question
d. ratio variable
26. In an application for a credit card, potential customers are asked for their social security
numbers. A social security number is an example of a
a. categorical variable
b. quantitative variable
c. categorical or quantitative variable, depending on how the respondents answered
the question
d. ratio variable
27. Temperature is an example of
a. a categorical variable
b. a quantitative variable
c. either a quantitative or categorical variable
d. neither a quantitative nor categorical variable
28. For ease of data entry into a university database, 1 denotes that the student is an
undergraduate and 2 denotes that the student is a graduate student. In this case
data are
a. categorical
b. quantitative
c. either categorical or quantitative
d. neither categorical nor quantitative
29. Income is an example of
a. categorical data
b. either categorical or quantitative data
c. dollar data
d. quantitative data
30. The birth weight of newborns, measured in grams, is an example of
a. categorical data
b. either categorical or quantitative data
c. dollar data
d. quantitative data
31. The weight of a ball bearing, measured in milligrams, is an example of
a. categorical data
b. either categorical or quantitative data
c. dollar data
d. quantitative data
32. The profits earned by a particular Fortune 500 company, measured in millions of dollars,
is an example of
a. categorical data
b. either categorical or quantitative data
c. dollar data
d. quantitative data
33. Data collected at the same, or approximately the same, point in time are
a. time series data
b. approximate time series data
c. cross-sectional data
d. approximate data
34. Data collected over several time periods are
a. time series data
b. time controlled data
c. cross-sectional data
d. time cross-sectional data
35. Statistical studies in which researchers do not control variables of interest are
a. experimental studies
b. uncontrolled experimental studies
c. not of any value
d. observational studies
36. Statistical studies in which researchers control variables of interest are
a. experimental studies
b. control observational studies
c. non experimental studies
d. observational studies
37. __________ is an example of an existing source of data.
a. An experimental study
b. An uncontrolled experimental study
c. The Bureau of the Census
d. An observational study
38. Which of the following is NOT an example of an existing source of data?
a. The Internet
b. Internal company records
c. The Bureau of the Census
d. All of these are examples of existing sources of data.
39. Which of the following is NOT an example of a firm that sells or leases business database
services to clients?
b. Bloomberg
c. The Bureau of the Census
d. All of these answers are examples of firms that sell or lease business database
services to clients.
40. The most common type of observational study is
a. an experimental study
b. a survey
c. an element
d. a bar graph
41. The summaries of data, which may be tabular, graphical, or numerical, are referred to as
a. inferential statistics
b. descriptive statistics
c. statistical inference
d. report generation
42. A Scanner Data User Survey of 50 companies found that the average amount spent on
scanner data per category of consumer goods was \$387,325 (Mercer Management
Consulting, Inc., April 24, 1997). The \$387,325 is an example of
a. categorical data
b. quantitative data
c. a descriptive statistic
d. Both quantitative data and a descriptive statistic are correct.
43. Statistical inference
a. refers to the process of drawing inferences about the sample based on the
characteristics of the population
b. is the same as descriptive statistics
c. is the process of drawing inferences about the population based on the
information taken from the sample
d. is the same as a census
44. The collection of all elements of interest in a particular study is
a. the population
b. the sampling
c. statistical inference
d. descriptive statistics
45. A portion of the population selected to represent the population is called
a. statistical inference
b. descriptive statistics
c. a census
d. a sample
46. In a sample of 800 students in a university, 360, or 45%, live in the dormitories. The
45% is an example of
a. a sample
b. a population
c. statistical inference
d. descriptive statistics
47. In a sample of 800 students in a university, 160, or 20%, are Business majors. Based on
the above information, the schools paper reported that 20% of all the students at the
university are Business majors. This report is an example of
a. a sample
b. a population
c. statistical inference
d. descriptive statistics
48. Six hundred residents of a city are polled to obtain information on voting intentions in an
upcoming city election. The six hundred residents in this study is an example of a(n)
a. census
b. sample
c. observation
d. population
49. A statistics professor asked students in a class their ages. On the basis of this
information, the professor states that the average age of all the students in the university
is 21 years. This is an example of
a. a census
b. descriptive statistics
c. an experiment
d. statistical inference
50. The owner of a factory regularly requests a graphical summary of all employees salaries.
The graphical summary of salaries is an example of
a. a sample
b. descriptive statistics
c. statistical inference
d. an experiment
51. The Department of Transportation of a city has noted that on the average there are 14
accidents per day. The average number of accidents is an example of
a. descriptive statistics
b. statistical inference
c. a sample
d. a population
Exhibit 1-1
In a recent study based upon an inspection of 200 homes in Daisy City, 120 were found to violate
one or more city codes.
52. Refer to Exhibit 1-1. The city manager released a statement that 60% of Daisy Citys
3,000 homes are in violation of city codes. The managers statement is an example of
a. a census
b. an experiment
c. descriptive statistics
d. statistical inference
53. Refer to Exhibit 1-1. The Daisy City study described above is an example of the use of a
a. census
b. sample
c. probability
d. population
54. Refer to Exhibit 1-1. The managers statement that 60% of Daisy Citys 3,000 homes are
in violation of city codes is
a. an exactly correct statement
b. only an approximation, since it is based upon sample information
c. obviously wrong, since it is based upon a study of only 200 homes
d. None of the other answers are correct.
Exhibit 1-2
In a sample of 3,200 registered voters, 1,440, or 45%, approve of the way the President is doing
his job.
55. Refer to Exhibit 1-2. The 45% approval is an example of
a. a sample
b. descriptive statistics
c. statistical inference
d. a population
56. Refer to Exhibit 1-2. A political pollster states, Forty five percent of all voters approve
of the President. This statement is an example of
a. a sample
b. descriptive statistics
c. statistical inference
d. a population
57. The process of analyzing sample data in order to draw conclusions about the
characteristics of a population is called
a. descriptive statistics
b. statistical inference
c. data analysis
d. data summarization
58. In a post office, the mailboxes are numbered from 1 to 5,000. These numbers represent
a. categorical data
b. time series data
c. either categorical or quantitative data
d. since the numbers are sequential, the data is quantitative
59. The average age in a sample of 90 students at City College is 20. As a result of this
sample, it can be concluded that the average age of all the students at City College
a. must be more than 20, since the population is always larger than the sample
b. must be less than 20, since the sample is only a part of the population
c. could not be 20
d. could be larger, smaller, or equal to 20
60. Since a sample is a subset of the population, the sample mean
a. is always smaller than the mean of the population
b. is always larger than the mean of the population
c. must be equal to the mean of the population
d. can be larger, smaller, or equal to the mean of the population
61. Since a sample is a subset of the population, a percentage that is calculated from the
sample data
a. is always smaller than the corresponding percentage from the population
b. is always larger than the corresponding percentage from the population
c. must be equal to the corresponding percentage from the population
d. can be larger, smaller, or equal to the corresponding percentage from the
population
62. A sample of five Fortune 500 companies showed the following revenues (\$ millions):
7505.0, 2904.7, 7208.4, 6819.0, and 19500.0. Based on this information, which of the
following statements is correct?
a. An estimate of the average revenue for all Fortune 500 companies is 8787.42 (\$
millions).
b. The average revenue for all Fortune 500 companies is 8787.42 (\$ millions).
c. Over half of all Fortune 500 companies earn at least 7208.4 (\$ millions) in
revenues.
d. If five other Fortune 500 companies were chosen, the average revenue would be
8787.42 (\$ millions).
63. A sample of five Fortune 500 companies showed the following industry codes: banking,
banking, finance, retail, and banking. Based on this information, which of the following
statements is correct?
a. Sixty percent of the sample of five companies are banking industries.
b. Sixty percent of all Fortune 500 companies are banking industries.
c. Banking is the most common type of industry among all Fortune 500 companies.
d. If five other Fortune 500 companies were chosen, 60% of them would be banking
industries.
64. __________ is a spreadsheet package.
a. Statistical inference
b. The bar chart
c. The New York Stock Exchange
d. Microsoft Excel
65. In the textbook, a worksheet that displays the data for the problem and shows the results
of the analysis is a
a. value worksheet
b. formula worksheet
c. data set worksheet
d. sample worksheet
66. In the textbook, a worksheet that displays the Excel formulas used to create the results
shown in the value worksheet is a
a. value worksheet
b. formula worksheet
c. data set worksheet
d. sample worksheet
were in favor of (identified by 1) or against (identified by 0) abortion. Some information
Sex
Age
Abortion Issue
Class Rank
Nancy
F
22
1
3
Michael
M
21
1
2
Tammy
F
33
0
1
John
M
38
0
20
Marlene
F
25
1
4
David
M
19
0
8
a. How many elements are in the data set?
b. How many variables are in the data set?
c. How many observations are in the data set?
d. Name the scale of measurement for each of the above (Sex, Age, Abortion Issue,
Class rank).
e. Which of the above (Sex, Age, Abortion Issue, Class rank) are categorical and which
are quantitative variables?
f. Are arithmetic operations appropriate for the variable abortion issue?
2. A recent issue of Fortune Magazine reported that the following companies had the lowest
sales per employee among the Fortune 500 companies.
Company
Sales Rank
Seagate Technology
285
SSMC
414
Russell
480
Maxxam
485
Dibrell Brothers
470
a. How many elements are in the above data set?
b. How many variables are in the above data set?
c. How many observations are in the above data set?
d. Name the scale of measurement for each of the variables.
e. Name the variables and indicate whether they are categorical or quantitative.
3. The following shows the temperatures (high, low) and weather conditions in a given
Sunday for some selected world cities. For the weather conditions, the following
notations are used: c = clear; cl = cloudy; sh = showers; pc = partly cloudy.
City
Hi
Lo
Condition
Acapulco
99
77
pc
Bangkok
92
78
pc
Mexico City
77
57
sh
Montreal
72
56
pc
Paris
77
58
c
Rome
88
68
cl
Toronto
78
61
c
a. How many elements are in this data set?
b. How many variables are in this data set?
c. How many observations are in this data set?
d. Name the scale of measurement for each of the variables.
e. Name the variables and indicate whether they are categorical or quantitative.
f. For which variables are arithmetic operations appropriate and for which are they not
appropriate?
4. A magazine surveyed a sample of its subscribers. Some of the responses from the survey
are shown below.
Subscriber ID
Sex
Age
Annual Household
Income (\$1000)
0006
F
22
45
4798
M
21
53
2291
F
33
82
4988
M
38
30
a. How many elements are in the data set?
b. How many variables are in the data set?
c. How many observations are in the data set?
d. Name the scale of measurement for each of the variables.
e. Which of the above (Sex, Age, Annual Household Income) are categorical and which
are quantitative?
f. Are the data time series or cross-sectional?
5. A magazine surveys a sample of its subscribers every year. Some of the responses are
shown below.
Year
Percent
Female
Average
Age
Average Annual
Household Income (\$1000)
1996
5.8
35.2
40
1997
8.6
35.8
42
1998
7.3
33.9
41
1999
9.2
35.3
43
2000
9.8
36.6
46
a. How many variables are in the data set?
b. Name the scale of measurement for each variable.
c. Which of the above (Year, Percent Female, Average Age, Average Annual
Household Income) are categorical and which are quantitative?
d. Are the data time series or cross-sectional?
6. The following data shows the yearly income distribution of a sample of 200 employees at
MNM, Inc.
Yearly Income (\$1000s)
Number of Employees
20 - 24
2
25 - 29
48
30 - 34
60
35 - 39
80
40 - 44
10
a. What percentage of employees has yearly incomes of more than \$35,000?
b. Is the figure (percentage) that you computed in Part a an example of statistical
inference? If no, what kind of statistics does it represent?
c. Based on this sample, the president of the company said that "45% of all our
employees' yearly incomes are over \$35,000." The president's statement represents
what kind of statistics?
d. With the statement made in Part c, can we be assured that more than 45% of all
employees' yearly incomes are at least \$35,000? Explain.
e. What percentage of employees of the sample has yearly incomes of \$29,000 or less?
f. How many variables are presented in the above data set?
g. The above data set represents the results of how many observations?
7. A recent issue of a national magazine reported that in a national public opinion survey
conducted among 2,000 individuals, 56% were in favor of gun control, 40% opposed gun
control, and 4% had no opinion on the subject.
a. What is the sample in this survey?
b. Based on the sample, what percentage of the population would you think is in favor
of gun control?
c. Based on the sample, what percentage of the population would you think have no
opinion on the subject?
8. A pharmaceutical company is performing clinical trials on a new drug that is intended to
relieve symptoms for allergy sufferers. Twelve percent of the 300 clinical trial
participants experienced the side effect dry mouth.
a. What is the population being studied?
b. What is the sample being studied?
c. Based on the sample, what percentage of the population do you think would suffer
from dry mouth?
9. A polling organization conducts a telephone poll of 850 registered voters and asks which
candidate they will vote for in the upcoming presidential election. Forty-three percent of
the respondents prefer candidate A and 45% prefer candidate B.
a. What is the population being studied?
b. What is the sample being studied?
c. Based on the sample, what percentage of the population do you think would vote for
candidate B?
10. The following table shows the starting salaries of a sample of recent business graduates.
Income (In \$1,000s)
15 - 19
40
20 - 24
60
25 - 29
80
30 - 34
18
35 - 39
2
a. What percentage of graduates in the sample had starting salaries of at least \$30,000?
b. Of the graduates in the sample, what percentage had starting salaries of less than
\$25,000?
c. Based on this sample, what percentage of all business graduates do you estimate to
have starting salaries of at least \$20,000?
11. Michael, Inc., a manufacturer of electric guitars, is a small firm with 50 employees. The
table below shows the hourly wage distribution of the employees.
Hourly Wages (In Dollars)
Number of Employees
10 - 13
8
14 - 17
12
18 - 21
20
22 - 25
10
a. How many employees receive hourly wages of at least \$18?
b. What percentage of the employees has hourly wages of at least \$18?
c. What percentage of the employees has hourly wages of less than \$14?
12. Laura Naples, Manager of Heritage Inn, periodically collects and tabulates
information about a sample of the hotel’s overnight guests. This information aids
her in planning and scheduling decisions she must make. The table below lists
data on ten randomly selected hotel registrants, collected as the registrants
checked out. The data listed for each registrant are: number of people in the group;
birth date of person registering; shuttle service used, yes or no; total telephone charges
incurred; and reason for stay, business or personal.
Name of
Registrant
People
In Group
Birth Date
(mm/dd/yy)
Shuttle
Used
Telephone
Charges
Reason
For Stay
1
05/07/59
yes
\$0.00
personal
Mica Pepper
4
11/23/48
no
12.46
Claude Shepler
2
04/30/73
no
1.20
Amy Rodriquez
2
12/16/71
no
2.90
Tony DiMarco
1
05/09/39
yes
0.00
personal
Amy Franklin
3
09/14/69
yes
4.65
Tammy Roberts
2
04/22/66
no
9.35
personal
Ed Blackstone
5
10/28/54
yes
2.10
personal
Mary Silverman
1
11/12/49
no
1.85
Todd Atherton
2
01/30/62
no
5.80
a. How many elements are there in the data set?
b. How many variables are there in the data set?
c. How many observations are there in the data set?
d. What are the observations for the second element listed?
e. What is the total number of measurements in the data set?
f. Which variables are quantitative?
g. Which variables are qualitative?
h. What is the scale of measurement for each of the variables?
i. Does the data set represent cross-sectional or times series data?
j. Does the data set represent an experimental or an observational study?
13. Suppose the current weather report for your area contains the following information.
Specify the measurement scale for each of the variables.
Temperature
84o
Wind Speed
10 mph
Wind Direction
(from the) South
Sky Description
Sunny
Molds Level
High

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