, TESTBANK for Statistics for Business and
Economics , 15th Edition Jeffrey D. Camm
Notes
1- The file is chapter after chapter.
2- We have shown you few pages sample.
3- The file contains all Appendix and Excel
sheet if it exists.
4- We have all what you need, we make
update at every time. There are many
new editions waiting you.
5- If you think you purchased the wrong file
You can contact us at every time, we can
replace it with true one.
Our email:
,Name: Class: Date:
Ch. 01: Data and Statistics
Multiple Choice
1. Different methods of developing useful information from large data bases are dealt with under
a. data manipulation.
b. data warehousing.
c. big data.
d. data mining.
ANSWER: d
2. The process of capturing, storing, and maintaining data is known as
a. data manipulation.
b. data mining.
c. data warehousing.
d. big data.
ANSWER: c
3. The subject of data mining deals with
a. methods for developing useful decision-making information from large data bases.
b. keeping data secure so that unauthorized individuals cannot access the data.
c. computational procedure for data analysis.
d. computing the average for data.
ANSWER: a
4. In a questionnaire, respondents are asked to mark their gender as male or female. The scale of
measurement for gender is _____ scale.
a. ordinal
b. nominal
c. ratio
d. interval
ANSWER: b
5. The scale of measurement that is used to rank order the observation for a variable is called the _____
scale.
a. ratio
b. ordinal
c. nominal
d. interval
ANSWER: b
6. A restaurant asks their customers to fill out a questionnaire indicating whether their service was
excellent, very good, good, or poor. The rating scale used is an example of the _____ scale.
a. ordinal
b. ratio
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,Name: Class: Date:
Ch. 01: Data and Statistics
c. nominal
d. interval
ANSWER: a
7. The data measured on ordinal scale exhibits all the properties of data measured on
a. ratio scale.
b. interval scale.
c. nominal scale.
d. nominal and interval scales.
ANSWER: c
8. Measurement of body temperature is an example of a variable that uses
a. the ratio scale.
b. the interval scale.
c. the ordinal scale.
d. either the ratio or the ordinal scale.
ANSWER: b
9. Arithmetic operations provide meaningful results for variables that
a. use any scale of measurement except nominal and ordinal.
b. appear as non-numerical values.
c. are quantitative.
d. have non-negative values.
ANSWER: c
10. Height is an example of a variable that uses the _____ scale.
a. ratio
b. interval
c. nominal
d. ordinal
ANSWER: a
11. Data measured in a nominal scale
a. must be alphabetic.
b. can be either numeric or nonnumeric.
c. must be numeric.
d. must rank order the data.
ANSWER: b
12. The scale of measurement that has an inherent zero value defined is the _____ scale.
a. ratio
b. nominal
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,Name: Class: Date:
Ch. 01: Data and Statistics
c. ordinal
d. interval
ANSWER: a
13. The measurement scale suitable for quantitative data is _____ scale.
a. the ordinal
b. the nominal
c. either the interval or ratio
d. only the interval
ANSWER: c
14. Data are
a. always numeric.
b. always non-numeric.
c. the raw material of statistics.
d. always categorical.
ANSWER: c
15. The entities on which data are collected are
a. elements.
b. populations.
c. samples.
d. observations.
ANSWER: a
16. The set of measurements collected for a particular element are called
a. variables.
b. observations.
c. samples.
d. populations.
ANSWER: b
17. A characteristic of interest for the elements is called a
a. sample.
b. data set.
c. variable.
d. quality.
ANSWER: c
18. All the data collected in a particular study are referred to as the
a. sample.
b. variable.
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,Name: Class: Date:
Ch. 01: Data and Statistics
c. data set.
d. population.
ANSWER: c
19. Quantitative data
a. are always non-numeric.
b. may be either numeric or non-numeric.
c. are always numeric.
d. are never numeric.
ANSWER: c
20. In a questionnaire, respondents are asked to mark their marital status as single, married, divorced, or
widowed. Marital status is an example of a(n) _____ variable.
a. categorical
b. quantitative
c. interval-scale
d. ordinal-scale
ANSWER: a
21. The number of observations will always be the same as the
a. number of variables.
b. number of elements.
c. population size.
d. sample size.
ANSWER: b
22. Categorical data
a. must be numeric.
b. must be nonnumeric.
c. cannot be numeric.
d. may be either numeric or nonnumeric.
ANSWER: d
23. Categorical data
a. indicate either how much or how many.
b. cannot be numeric
c. are labels used to identify attributes of elements.
d. must be nonnumeric.
ANSWER: c
24. Ordinary arithmetic operations are meaningful
a. only with categorical data.
b. only with quantitative data.
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,Name: Class: Date:
Ch. 01: Data and Statistics
c. either with quantitative or categorical data.
d. with neither quantitative nor categorical data.
ANSWER: b
25. A student’s dormitory room number is an example of
a. a quantitative variable.
b. either a quantitative or a categorical variable.
c. an exchange variable.
d. a categorical variable.
ANSWER: d
26. Goals scored in a soccer game 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.
ANSWER: b
27. For ease of data entry into a university database, 1 denotes that the student is a freshman, 2 indicates a
sophomore, 3 indicates a junior, and 4 indicates that the student is a senior. In this case, data are
a. categorical.
b. quantitative.
c. either categorical or quantitative.
d. neither categorical nor quantitative.
ANSWER: a
28. Arithmetic operations are inappropriate for
a. categorical data.
b. quantitative data.
c. both categorical and quantitative data.
d. large data sets.
ANSWER: a
29. Cost of a theater ticket is an example of
a. categorical data.
b. either categorical or quantitative data.
c. nominal data.
d. quantitative data.
ANSWER: d
30. Data collected at the same, or approximately the same point in time are _____ data.
a. time series
b. approximate time series
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,Name: Class: Date:
Ch. 01: Data and Statistics
c. cross-sectional
d. approximate
ANSWER: c
31. Data collected over several time periods are _____ data.
a. time series
b. time controlled
c. cross-sectional
d. periodic
ANSWER: a
32. Statistical studies in which researchers do not control variables of interest are _____ studies.
a. experimental
b. random variable
c. inferential
d. observational
ANSWER: d
33. Statistical studies in which researchers control variables of interest are _____ studies.
a. experimental
b. random variable
c. inferential
d. observational
ANSWER: a
34. The summaries of data, which may be tabular, graphical, or numerical, are referred to as
_____ statistics.
a. inferential
b. descriptive
c. observational
d. experimental
ANSWER: b
35. 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.
ANSWER: c
36. The collection of all elements of interest in a study is
a. the population.
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,Name: Class: Date:
Ch. 01: Data and Statistics
b. the sample.
c. a survey.
d. a census.
ANSWER: a
37. A portion selected to represent the whole is called a
a. survey.
b. population.
c. census.
d. sample.
ANSWER: d
38. In a sample of 800 students in a university, 240 or 30% are Business majors. The 30% is an example
of
a. a sample.
b. a population.
c. statistical inference.
d. descriptive statistics.
ANSWER: d
39. In a sample of 400 students in a university, 80 or 20% are Business majors. Based on the above
information, the school's 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.
ANSWER: c
40. Five hundred residents of a city with a population of 240,495 are polled to obtain information on
voting intentions in an upcoming city election. The five hundred residents in this study is an example of
a(n)
a. census.
b. sample.
c. observation.
d. population.
ANSWER: b
41. A statistics professor asked students in a class their ages. Based on this information, the professor
states that the average age of all the students in the university is 24 years. This is an example of
a. an observational study.
b. descriptive statistics.
c. an experiment.
d. statistical inference.
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, Name: Class: Date:
Ch. 01: Data and Statistics
ANSWER: d
42. The owner of a factory regularly requests a graphical summary of all employees' salaries. The
graphical summary of salaries is an example of _____ statistics.
a. inferential
b. descriptive
c. experimental
d. observational
ANSWER: b
43. The Department of Transportation of a city has calculated that on the average there are 17 accidents
per day. The average number of accidents is an example of
a. descriptive statistics.
b. statistical inference.
c. a sample.
d. a population.
ANSWER: a
44. 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.
ANSWER: b
45. In a post office, the mailboxes are numbered from 1 to 4,500. These numbers represent
a. categorical data.
b. quantitative data.
c. either categorical or quantitative data.
d. since the numbers are sequential, the data is quantitative.
ANSWER: a
46. The average age in a sample of 190 students at City College is 22. 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 22, since the population is always larger than the sample.
b. must be less than 22, since the sample is only a part of the population.
c. could not be 22.
d. is around 22.
ANSWER: d
47. Since a sample is a subset of the population, the sample mean _____ the mean of the population.
a. is always smaller than
b. is always larger than
c. must be equal to
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Economics , 15th Edition Jeffrey D. Camm
Notes
1- The file is chapter after chapter.
2- We have shown you few pages sample.
3- The file contains all Appendix and Excel
sheet if it exists.
4- We have all what you need, we make
update at every time. There are many
new editions waiting you.
5- If you think you purchased the wrong file
You can contact us at every time, we can
replace it with true one.
Our email:
,Name: Class: Date:
Ch. 01: Data and Statistics
Multiple Choice
1. Different methods of developing useful information from large data bases are dealt with under
a. data manipulation.
b. data warehousing.
c. big data.
d. data mining.
ANSWER: d
2. The process of capturing, storing, and maintaining data is known as
a. data manipulation.
b. data mining.
c. data warehousing.
d. big data.
ANSWER: c
3. The subject of data mining deals with
a. methods for developing useful decision-making information from large data bases.
b. keeping data secure so that unauthorized individuals cannot access the data.
c. computational procedure for data analysis.
d. computing the average for data.
ANSWER: a
4. In a questionnaire, respondents are asked to mark their gender as male or female. The scale of
measurement for gender is _____ scale.
a. ordinal
b. nominal
c. ratio
d. interval
ANSWER: b
5. The scale of measurement that is used to rank order the observation for a variable is called the _____
scale.
a. ratio
b. ordinal
c. nominal
d. interval
ANSWER: b
6. A restaurant asks their customers to fill out a questionnaire indicating whether their service was
excellent, very good, good, or poor. The rating scale used is an example of the _____ scale.
a. ordinal
b. ratio
Copyright Cengage Learning. Powered by Cognero. Page 1
,Name: Class: Date:
Ch. 01: Data and Statistics
c. nominal
d. interval
ANSWER: a
7. The data measured on ordinal scale exhibits all the properties of data measured on
a. ratio scale.
b. interval scale.
c. nominal scale.
d. nominal and interval scales.
ANSWER: c
8. Measurement of body temperature is an example of a variable that uses
a. the ratio scale.
b. the interval scale.
c. the ordinal scale.
d. either the ratio or the ordinal scale.
ANSWER: b
9. Arithmetic operations provide meaningful results for variables that
a. use any scale of measurement except nominal and ordinal.
b. appear as non-numerical values.
c. are quantitative.
d. have non-negative values.
ANSWER: c
10. Height is an example of a variable that uses the _____ scale.
a. ratio
b. interval
c. nominal
d. ordinal
ANSWER: a
11. Data measured in a nominal scale
a. must be alphabetic.
b. can be either numeric or nonnumeric.
c. must be numeric.
d. must rank order the data.
ANSWER: b
12. The scale of measurement that has an inherent zero value defined is the _____ scale.
a. ratio
b. nominal
Copyright Cengage Learning. Powered by Cognero. Page 2
,Name: Class: Date:
Ch. 01: Data and Statistics
c. ordinal
d. interval
ANSWER: a
13. The measurement scale suitable for quantitative data is _____ scale.
a. the ordinal
b. the nominal
c. either the interval or ratio
d. only the interval
ANSWER: c
14. Data are
a. always numeric.
b. always non-numeric.
c. the raw material of statistics.
d. always categorical.
ANSWER: c
15. The entities on which data are collected are
a. elements.
b. populations.
c. samples.
d. observations.
ANSWER: a
16. The set of measurements collected for a particular element are called
a. variables.
b. observations.
c. samples.
d. populations.
ANSWER: b
17. A characteristic of interest for the elements is called a
a. sample.
b. data set.
c. variable.
d. quality.
ANSWER: c
18. All the data collected in a particular study are referred to as the
a. sample.
b. variable.
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,Name: Class: Date:
Ch. 01: Data and Statistics
c. data set.
d. population.
ANSWER: c
19. Quantitative data
a. are always non-numeric.
b. may be either numeric or non-numeric.
c. are always numeric.
d. are never numeric.
ANSWER: c
20. In a questionnaire, respondents are asked to mark their marital status as single, married, divorced, or
widowed. Marital status is an example of a(n) _____ variable.
a. categorical
b. quantitative
c. interval-scale
d. ordinal-scale
ANSWER: a
21. The number of observations will always be the same as the
a. number of variables.
b. number of elements.
c. population size.
d. sample size.
ANSWER: b
22. Categorical data
a. must be numeric.
b. must be nonnumeric.
c. cannot be numeric.
d. may be either numeric or nonnumeric.
ANSWER: d
23. Categorical data
a. indicate either how much or how many.
b. cannot be numeric
c. are labels used to identify attributes of elements.
d. must be nonnumeric.
ANSWER: c
24. Ordinary arithmetic operations are meaningful
a. only with categorical data.
b. only with quantitative data.
Copyright Cengage Learning. Powered by Cognero. Page 4
,Name: Class: Date:
Ch. 01: Data and Statistics
c. either with quantitative or categorical data.
d. with neither quantitative nor categorical data.
ANSWER: b
25. A student’s dormitory room number is an example of
a. a quantitative variable.
b. either a quantitative or a categorical variable.
c. an exchange variable.
d. a categorical variable.
ANSWER: d
26. Goals scored in a soccer game 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.
ANSWER: b
27. For ease of data entry into a university database, 1 denotes that the student is a freshman, 2 indicates a
sophomore, 3 indicates a junior, and 4 indicates that the student is a senior. In this case, data are
a. categorical.
b. quantitative.
c. either categorical or quantitative.
d. neither categorical nor quantitative.
ANSWER: a
28. Arithmetic operations are inappropriate for
a. categorical data.
b. quantitative data.
c. both categorical and quantitative data.
d. large data sets.
ANSWER: a
29. Cost of a theater ticket is an example of
a. categorical data.
b. either categorical or quantitative data.
c. nominal data.
d. quantitative data.
ANSWER: d
30. Data collected at the same, or approximately the same point in time are _____ data.
a. time series
b. approximate time series
Copyright Cengage Learning. Powered by Cognero. Page 5
,Name: Class: Date:
Ch. 01: Data and Statistics
c. cross-sectional
d. approximate
ANSWER: c
31. Data collected over several time periods are _____ data.
a. time series
b. time controlled
c. cross-sectional
d. periodic
ANSWER: a
32. Statistical studies in which researchers do not control variables of interest are _____ studies.
a. experimental
b. random variable
c. inferential
d. observational
ANSWER: d
33. Statistical studies in which researchers control variables of interest are _____ studies.
a. experimental
b. random variable
c. inferential
d. observational
ANSWER: a
34. The summaries of data, which may be tabular, graphical, or numerical, are referred to as
_____ statistics.
a. inferential
b. descriptive
c. observational
d. experimental
ANSWER: b
35. 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.
ANSWER: c
36. The collection of all elements of interest in a study is
a. the population.
Copyright Cengage Learning. Powered by Cognero. Page 6
,Name: Class: Date:
Ch. 01: Data and Statistics
b. the sample.
c. a survey.
d. a census.
ANSWER: a
37. A portion selected to represent the whole is called a
a. survey.
b. population.
c. census.
d. sample.
ANSWER: d
38. In a sample of 800 students in a university, 240 or 30% are Business majors. The 30% is an example
of
a. a sample.
b. a population.
c. statistical inference.
d. descriptive statistics.
ANSWER: d
39. In a sample of 400 students in a university, 80 or 20% are Business majors. Based on the above
information, the school's 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.
ANSWER: c
40. Five hundred residents of a city with a population of 240,495 are polled to obtain information on
voting intentions in an upcoming city election. The five hundred residents in this study is an example of
a(n)
a. census.
b. sample.
c. observation.
d. population.
ANSWER: b
41. A statistics professor asked students in a class their ages. Based on this information, the professor
states that the average age of all the students in the university is 24 years. This is an example of
a. an observational study.
b. descriptive statistics.
c. an experiment.
d. statistical inference.
Copyright Cengage Learning. Powered by Cognero. Page 7
, Name: Class: Date:
Ch. 01: Data and Statistics
ANSWER: d
42. The owner of a factory regularly requests a graphical summary of all employees' salaries. The
graphical summary of salaries is an example of _____ statistics.
a. inferential
b. descriptive
c. experimental
d. observational
ANSWER: b
43. The Department of Transportation of a city has calculated that on the average there are 17 accidents
per day. The average number of accidents is an example of
a. descriptive statistics.
b. statistical inference.
c. a sample.
d. a population.
ANSWER: a
44. 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.
ANSWER: b
45. In a post office, the mailboxes are numbered from 1 to 4,500. These numbers represent
a. categorical data.
b. quantitative data.
c. either categorical or quantitative data.
d. since the numbers are sequential, the data is quantitative.
ANSWER: a
46. The average age in a sample of 190 students at City College is 22. 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 22, since the population is always larger than the sample.
b. must be less than 22, since the sample is only a part of the population.
c. could not be 22.
d. is around 22.
ANSWER: d
47. Since a sample is a subset of the population, the sample mean _____ the mean of the population.
a. is always smaller than
b. is always larger than
c. must be equal to
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