1. The’ process of using data collected from’ a small group to_ reach conclusions about a large
group is called
A. statistical inference.
B. DCOVA framework.
C. operational definition.
D. descriptive statistics.
ANS: A
DIF level: Easy
KW: inferential statistics
2. Those methods involving the’ collection, presentation, and’ characterization of a set of data in
order to_ properly describe the’ various features of that set of data are called
A. statistical inference.
B. DCOVA framework.
C. operational definition.
D. descriptive statistics.
ANS: D
DIF level: Easy
KW: descriptive statistics
3. The’ collection and’ summarization of the’ socioeconomic and’ physical characteristics of the’
employees of a particular firm is an example of
A. inferential statistics.
B. descriptive statistics.
C. operational definition.
D. DCOVA framework.
ANS: B
DIF level: Easy
KW: descriptive statistics
4. The’ estimation of the’ population average family expenditure on food based on the’ sample
average expenditure of 1,000 families is an example of
A. inferential statistics.
B. descriptive statistics.
C. DCOVA framework.
D. operational definition.
ANS: A
DIF level: Easy
KW: inferential statistics
,Test Bank for the textbook 2
5. Which of the’ following is not an element of descriptive statistical problems?
A. An inference made about the’ population based on the’ sample
B. The’ population or sample of interest
C. Tables, graphs, or numerical summary tools
D. Identification of patterns in the’ data
ANS: A
DIF level: Moderate
KW: descriptive statistics
6. A study is under way in Yosemite National Forest to_ determine the’ adult height of American
pine trees. Specifically, the’ study is attempting to_ determine what factors aid a tree in reaching
heights greater than 60 feet tall. It is estimated that the’ forest contains 25,000 adult American pines.
The’ study involves collecting heights from’ 250 randomly selected adult American pine trees and’
analyzing the’ results. Identify the’ variable of interest in the’ study.
A. The’ age of an American pine tree in Yosemite National Forest
B. The’ height of an American pine tree in Yosemite National Forest
C. The’ number of American pine trees in Yosemite National Forest
D. The’ species of trees in Yosemite National Forest
ANS: B
DIF level: Easy
KW: variable
7. Most analysts focus on the’ cost of tuition as the’ way to_ measure the’ cost of a college
education. But incidentals, such as textbook costs, are rarely considered. A researcher at Drummand
University wishes to_ estimate the’ textbook costs of first-year students at Drummand. To_ do so,
she monitored the’ textbook cost of 250 first-year students and’ found that their average textbook
cost was $600 per semester. Identify the’ variable of interest to_ the’ researcher.
A. The’ textbook cost of first-year Drummand University students
B. The’ year in school of Drummand University students
C. The’ age of Drummand University students
D. The’ cost of incidental expenses of Drummand University students
ANS: A
DIF level: Easy
KW: variable
8. T/f Problems may arise when statistically unsophisticated users who do not understand the’
assumptions behind the’ statistical procedures or their limitations are misled by results obtained
from’ computer software.
ANS: TRUE
DIF level: Easy
KW: statistical package
9. T/f Managers need an understanding of statistics to_ be able to_ present and’ describe
information accurately, draw conclusions about large populations based on small samples, improve
processes, and’ make reliable forecasts.
10. T/f A professor computed the’ sample average exam score of 20 students and’ used it to_
estimate the’ average exam score of the’ 1,500 students taking the’ exam. This is an example of
inferential statistics.
ANS: TRUE
DIF level: Easy
KW: descriptive statistics, inferential statistics
11. T/f Using the’ number of registered voters who turned out to_ vote for’ the’ primary in Iowa
to_ predict the’ number of registered voters who will turn out to_ vote in Vermont's primary is an
example of descriptive statistics.
ANS: FALSE
DIF level: Easy
KW: descriptive statistics, inferential statistics
12. T/f Compiling the’ number of registered voters who turned out to_ vote for’ the’ primary in
Iowa is an example of descriptive statistics.
ANS: TRUE
DIF level: Easy
KW: descriptive statistics, inferential statistics
13. The’ Human Resources Director of a large corporation wishes to_ develop an employee benefits
package and’ decides to_ select 500 employees from’ a list of all (N = 40,000. workers in order to_
study their preferences for’ the’ various components of a potential package. In this study, methods
involving the’ collection, presentation, and’ characterization of the’ data are called ________.
ANS: descriptive statistics/methods
DIF level: Easy
KW: descriptive statistics
14. The’ Human Resources Director of a large corporation wishes to_ develop an employee benefits
package and’ decides to_ select 500 employees from’ a list of all (N = 40,000. workers in order to_
study their preferences for’ the’ various components of a potential package. In this study, methods
that result in decisions concerning population characteristics based only on the’ sample results are
called ________.
ANS: inferential statistics/methods
DIF level: Easy
KW: inferential statistics
15. The’ oranges grown in corporate farms in an agricultural state were damaged by some unknown
fungi a few years ago. Suppose the’ manager of a large farm wanted to_ study the’ impact of the’
fungi on the’ orange crops on a daily basis over a 6-week period. On each day a random sample of
orange trees was selected from’ within a random sample of acres. The’ daily average number of
, Test Bank for the textbook 4
damaged oranges per tree and’ the’ proportion of trees having damaged oranges were calculated. In
this study, drawing conclusions on any one day about the’ true population characteristics based on
information obtained from’ the’ sample is called ________.
ANS: inferential statistics/methods
DIF level: Moderate
KW: inferential statistics
16. The’ oranges grown in corporate farms in an agricultural state were damaged by some unknown
fungi a few years ago. Suppose the’ manager of a large farm wanted to_ study the’ impact of the’
fungi on the’ orange crops on a daily basis over a 6-week period. On each day a random sample of
orange trees was selected from’ within a random sample of acres. The’ daily average number of
damaged oranges per tree and’ the’ proportion of trees having damaged oranges were calculated. In
this study, the’ presentation and’ characterization of the’ two main measures calculated each day
(i.e., average number of damaged oranges per tree and’ proportion of trees having damaged oranges.
are called ________.
ANS: descriptive statistics/methods
DIF level: Moderate
KW: descriptive statistics
17. The’ Commissioner of Health in New York State wanted to_ study malpractice litigation in New
York. A sample of 31 thousand medical records was drawn from’ a population of 2.7 million patients
who were discharged during 2010. Using the’ information obtained from’ the’ sample to_ predict
population characteristics with respect to_ malpractice litigation is an example of ________.
ANS: inferential statistics
DIF level: Moderate
KW: inferential statistics
18. The’ Commissioner of Health in New York State wanted to_ study malpractice litigation in New
York. A sample of 31 thousand medical records was drawn from’ a population of 2.7 million patients
who were discharged during 2010. The’ collection, presentation, and’ characterization of the’ data
from’ patient medical records are examples of ________.
ANS: descriptive statistics/methods
DIF level: Easy
KW: descriptive statistics
19. T/f Business analytics combine "traditional" statistical methods with methods and’ techniques
from’ management science and’ information systems to_ form an interdisciplinary tool that
supports fact-based management decision making.
ANS: TRUE
DIF level: Easy
KW: business analytics
20. Which of the’ following is not true about business analytics?
A. It enables you to_ use statistical methods to_ analyze and’ explore data to_ uncover unforeseen
relationships.
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