Exam
Name
MULTIPLE CHOICE.
p1 p 1 Choose the one alternative that best completes the statement or answers the question.
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
1) The process of using data collected from a small group to reach conclusions about a large group is called
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
A) DCOVA framework. B) descriptive statistics.
p1 p 1 p1
C) statistical inference.
p1 D) operational definition. p1 p 1 p1
2) Those methods involving the collection, presentation, and characterization of a set of data in order to properly
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
describe the various features of that set of data are called
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
A) DCOVA framework. B) statistical inference.
p1 p1 p1
C) descriptive statistics.
p 1 D) operational definition. p1 p 1 p1
3) The collection and summarization of the socioeconomic and physical characteristics of the employees of a
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
particular firm is an example of
p1 p1 p1 p1 p1 p1
A) inferential statistics. B) DCOVA framework. p1 p1 p1
C) operational definition.
p 1 D) descriptive statistics. p1 p 1 p1
4) The estimation of the population average family expenditure on food based on the sample average expenditure of
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
1,000 families is an example of
p 1 p1 p1 p1 p1 p1
A) inferential statistics. B) DCOVA framework. p1 p1 p1
C) operational definition.
p 1 D) descriptive statistics. p1 p 1 p1
5) Which of the following is not an element of descriptive statistical problems?
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
A) Tables, graphs, or numerical summary tools. p1 p1 p1 p1 p1
B) An inference made about the population based on the sample.
p1 p1 p1 p1 p1 p1 p1 p1 p1
C) Identification of patterns in the data. p1 p1 p1 p1 p1
D) The population or sample of interest. p1 p1 p1 p1 p1
6) True or False: Problems may arise when statistically unsophisticated users who do not understand the
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
assumptions behind the statistical procedures or their limitations are misled by results obtained from computer
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
software.
p1
A) True
B) False
7) True or False: Managers need an understanding of statistics to be able to present and describe information
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
accurately, draw conclusions about large populations based on small samples, improve processes, and make
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
reliable forecasts.
p1 p1
A) True
B) False
1
, 8) True or False: A professor computed the sample average exam score of 20 students and used it to estimate the
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
average exam score of the 1,500 students taking the exam. This is an example of inferential statistics.
p 1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p 1 p1 p1 p1
A) True
B) False
9) True or False: Using the number of registered voters who turned out to vote for the primary in Iowa to predict the
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
number of registered voters who will turn out to vote in Vermont's primary is an example of descriptive statistics.
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
A) True
B) False
10) True or False: Compiling the number of registered voters who turned out to vote for the primary in Iowa is an
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
example of descriptive statistics.
p1 p1 p1 p1
A) True
B) False
SHORT ANSWER.
p1 p 1 Write the word or phrase that best completes each statement or answers the question.
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
11) The Human Resources Director of a large corporation wishes to develop an employee benefits package and
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
decides to select 500 employees from a list of all (N = 40,000) workers in order to study their preferences for the
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
various components of a potential package. In this study, methods involving the collection, presentation, and
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
characterization of the data are called
p1 . p1 p1 p1 p1 p1 p1
12) The Human Resources Director of a large corporation wishes to develop an employee benefits package
p 1 p 1 p 1 p 1 p 1 p 1 p 1 p 1 p 1 p 1 p 1 p 1 p 1 p1
and decides to select 500 employees from a list of all (N = 40,000) workers in order to study their preferences for
p 1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
the various components of a potential package. In this study, methods that result in decisions concerning
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
population characteristics based only on the sample results are called .
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
13) The oranges grown in corporate farms in an agricultural state were damaged by some unknown fungi a few years
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
ago. Suppose the manager of a large farm wanted to study the impact of the fungi on the orange crops on a daily
p1 p 1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
basis over a 6-week period. On each day a random sample of orange trees was selected from within a random
p 1 p1 p1 p1 p1 p 1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
sample of acres. The daily average number of damaged oranges per tree and the proportion of trees having
p 1 p1 p1 p 1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
damaged oranges were calculated. In this study, drawing conclusions on any one day about the true population
p 1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
characteristics based on information obtained from the sample is called
p1 .
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
14) The oranges grown in corporate farms in an agricultural state were damaged by some unknown fungi a few years
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
ago. Suppose the manager of a large farm wanted to study the impact of the fungi on the orange crops on a daily
p1 p 1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
basis over a 6-week period. On each day a random sample of orange trees was selected from within a random
p 1 p1 p1 p1 p1 p 1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
sample of acres. The daily average number of damaged oranges per tree and the proportion of trees having
p 1 p1 p1 p 1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
damaged oranges were calculated. In this study, the presentation and characterization of the two main measures
p 1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
calculated each day (i.e., average number of damaged oranges per tree and proportion of trees having damaged
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
oranges) is called
p1 . p1 p1 p1
2
, 15) The Commissioner of Health in New York State wanted to study malpractice litigation in New York. A sample
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p 1 p1
of 31 thousand medical records was drawn from a population of 2.7 million patients who were discharged during
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
2010. Using the information obtained from the sample to predict population characteristics with respect to
p 1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
malpractice litigation is an example of
p1 . p1 p1 p1 p1 p1 p1
16) The Commissioner of Health in New York State wanted to study malpractice litigation in New York. A sample
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p 1 p1
of 31 thousand medical records was drawn from a population of 2.7 million patients who were discharged during
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
2010. The collection, presentation, and characterization of the data from patient medical records are examples of
p 1 p1 p1 p1 p1 p1 p 1 p1 p 1 p1 p1 p1 p1 p1 p1 p1
.
MULTIPLE CHOICE.
p1 p 1 Choose the one alternative that best completes the statement or answers the question.
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
17) True or False: Business analytics combine "traditional" statistical methods with methods and techniques from
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
management science and information systems to form an interdisciplinary tool that supports fact-based
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
management decision making.
p1 p1 p1
A) True
B) False
18) Which of the following is not true about business analytics?
p1 p1 p1 p1 p1 p1 p1 p1 p1
A) It enables you to use statistical methods to analyze and explore data to uncover unforeseen relationships.
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
B) It enables you to use information systems methods to collect and process data sets of all sizes.
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
C) It enables you to use management science methods to develop optimization models that impact an
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
organization's strategy, planning, and operations.
p1 p1 p1 p1 p1
D) It enables you to use complex mathematics to replace the need for organizational decision making and
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
problem solving. p1 p1
19) True or False: In the current data-driven environment of business, the decisions you make will be increasingly
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
based on gut or intuition supported by personal experience.
p 1 p1 p1 p1 p1 p1 p1 p1 p1
A) True
B) False
20) Which of the following is not an attribute of big data?
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
A) Variety B) Volume p1 C) Velocity p1 D) Variegated p1
21) True or False: If rising temperatures are followed immediately by an increase in crime in urban areas, we would
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
attribute the two events to be an instance of logical causality.
p 1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
A) True
B) False
3
, 22) A study is under way in Yosemite National Forest to determine the adult height of American pine trees.
p 1 p 1 p 1 p 1 p1 p1 p 1 p1 p 1 p 1 p 1 p1 p 1 p 1 p 1 p 1 p 1
Specifically, the study is attempting to determine what factors aid a tree in reaching heights greater
p1 p 1 p 1 p 1 p 1 p 1 p1 p 1 p 1 p 1 p 1 p 1 p 1 p 1 p 1 p 1
than 60 feet tall. It is estimated that the forest contains 25,000 adult American pines. The study involves collecting
p 1 p 1 p 1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
heights from 250 randomly selected adult American pine trees and analyzing the results. Identify the variable of
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
interest in the study.
p1 p1 p1 p1
A) The number of American pine trees in Yosemite National Forest.
p1 p1 p1 p1 p1 p1 p1 p1 p1
B) The species of trees in Yosemite National Forest.
p1 p1 p1 p1 p1 p1 p1
C) The age of an American pine tree in Yosemite National Forest.
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
D) The height of an American pine tree in Yosemite National Forest.
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
23) Most analysts focus on the cost of tuition as the way to measure the cost of a college education. But incidentals,
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
such as textbook costs, are rarely considered. A researcher at Drummand University wishes to estimate the
p 1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
textbook costs of first-year students at Drummand. To do so, she monitored the textbook cost of 250 first-year
p 1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
students and found that their average textbook cost was $600 per semester. Identify the variable of interest to the
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
researcher.
p1
A) The textbook cost of first-year Drummand University students.
p1 p1 p1 p1 p1 p1 p1
B) The age of Drummand University students.
p1 p1 p1 p1 p1
C) The year in school of Drummand University students.
p1 p1 p1 p1 p1 p1 p1
D) The cost of incidental expenses of Drummand University students.
p1 p1 p1 p1 p1 p1 p1 p1
24) True or False: "Big data" is a concrete concept with a precise operational definition.
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
A) True
B) False
25) True or False: "Big data" are data being collected in huge volumes and at very fast rates, and they typically
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
p1arrive in a variety of forms, organized and unorganized.
p 1 p1 p1 p1 p1 p1 p1 p1
A) True
B) False
26) True or False: The D in the DCOVA framework stands for "data".
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
A) True
B) False
27) True or False: The D in the DCOVA framework stands for "define".
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
A) True
B) False
28) True or False: The C in the DCOVA framework stands for "categorize".
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
A) True
B) False
4
Name
MULTIPLE CHOICE.
p1 p 1 Choose the one alternative that best completes the statement or answers the question.
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
1) The process of using data collected from a small group to reach conclusions about a large group is called
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
A) DCOVA framework. B) descriptive statistics.
p1 p 1 p1
C) statistical inference.
p1 D) operational definition. p1 p 1 p1
2) Those methods involving the collection, presentation, and characterization of a set of data in order to properly
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
describe the various features of that set of data are called
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
A) DCOVA framework. B) statistical inference.
p1 p1 p1
C) descriptive statistics.
p 1 D) operational definition. p1 p 1 p1
3) The collection and summarization of the socioeconomic and physical characteristics of the employees of a
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
particular firm is an example of
p1 p1 p1 p1 p1 p1
A) inferential statistics. B) DCOVA framework. p1 p1 p1
C) operational definition.
p 1 D) descriptive statistics. p1 p 1 p1
4) The estimation of the population average family expenditure on food based on the sample average expenditure of
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
1,000 families is an example of
p 1 p1 p1 p1 p1 p1
A) inferential statistics. B) DCOVA framework. p1 p1 p1
C) operational definition.
p 1 D) descriptive statistics. p1 p 1 p1
5) Which of the following is not an element of descriptive statistical problems?
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
A) Tables, graphs, or numerical summary tools. p1 p1 p1 p1 p1
B) An inference made about the population based on the sample.
p1 p1 p1 p1 p1 p1 p1 p1 p1
C) Identification of patterns in the data. p1 p1 p1 p1 p1
D) The population or sample of interest. p1 p1 p1 p1 p1
6) True or False: Problems may arise when statistically unsophisticated users who do not understand the
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
assumptions behind the statistical procedures or their limitations are misled by results obtained from computer
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
software.
p1
A) True
B) False
7) True or False: Managers need an understanding of statistics to be able to present and describe information
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
accurately, draw conclusions about large populations based on small samples, improve processes, and make
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
reliable forecasts.
p1 p1
A) True
B) False
1
, 8) True or False: A professor computed the sample average exam score of 20 students and used it to estimate the
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
average exam score of the 1,500 students taking the exam. This is an example of inferential statistics.
p 1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p 1 p1 p1 p1
A) True
B) False
9) True or False: Using the number of registered voters who turned out to vote for the primary in Iowa to predict the
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
number of registered voters who will turn out to vote in Vermont's primary is an example of descriptive statistics.
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
A) True
B) False
10) True or False: Compiling the number of registered voters who turned out to vote for the primary in Iowa is an
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
example of descriptive statistics.
p1 p1 p1 p1
A) True
B) False
SHORT ANSWER.
p1 p 1 Write the word or phrase that best completes each statement or answers the question.
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
11) The Human Resources Director of a large corporation wishes to develop an employee benefits package and
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
decides to select 500 employees from a list of all (N = 40,000) workers in order to study their preferences for the
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
various components of a potential package. In this study, methods involving the collection, presentation, and
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
characterization of the data are called
p1 . p1 p1 p1 p1 p1 p1
12) The Human Resources Director of a large corporation wishes to develop an employee benefits package
p 1 p 1 p 1 p 1 p 1 p 1 p 1 p 1 p 1 p 1 p 1 p 1 p 1 p1
and decides to select 500 employees from a list of all (N = 40,000) workers in order to study their preferences for
p 1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
the various components of a potential package. In this study, methods that result in decisions concerning
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
population characteristics based only on the sample results are called .
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
13) The oranges grown in corporate farms in an agricultural state were damaged by some unknown fungi a few years
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
ago. Suppose the manager of a large farm wanted to study the impact of the fungi on the orange crops on a daily
p1 p 1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
basis over a 6-week period. On each day a random sample of orange trees was selected from within a random
p 1 p1 p1 p1 p1 p 1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
sample of acres. The daily average number of damaged oranges per tree and the proportion of trees having
p 1 p1 p1 p 1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
damaged oranges were calculated. In this study, drawing conclusions on any one day about the true population
p 1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
characteristics based on information obtained from the sample is called
p1 .
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
14) The oranges grown in corporate farms in an agricultural state were damaged by some unknown fungi a few years
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
ago. Suppose the manager of a large farm wanted to study the impact of the fungi on the orange crops on a daily
p1 p 1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
basis over a 6-week period. On each day a random sample of orange trees was selected from within a random
p 1 p1 p1 p1 p1 p 1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
sample of acres. The daily average number of damaged oranges per tree and the proportion of trees having
p 1 p1 p1 p 1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
damaged oranges were calculated. In this study, the presentation and characterization of the two main measures
p 1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
calculated each day (i.e., average number of damaged oranges per tree and proportion of trees having damaged
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
oranges) is called
p1 . p1 p1 p1
2
, 15) The Commissioner of Health in New York State wanted to study malpractice litigation in New York. A sample
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p 1 p1
of 31 thousand medical records was drawn from a population of 2.7 million patients who were discharged during
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
2010. Using the information obtained from the sample to predict population characteristics with respect to
p 1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
malpractice litigation is an example of
p1 . p1 p1 p1 p1 p1 p1
16) The Commissioner of Health in New York State wanted to study malpractice litigation in New York. A sample
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p 1 p1
of 31 thousand medical records was drawn from a population of 2.7 million patients who were discharged during
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
2010. The collection, presentation, and characterization of the data from patient medical records are examples of
p 1 p1 p1 p1 p1 p1 p 1 p1 p 1 p1 p1 p1 p1 p1 p1 p1
.
MULTIPLE CHOICE.
p1 p 1 Choose the one alternative that best completes the statement or answers the question.
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
17) True or False: Business analytics combine "traditional" statistical methods with methods and techniques from
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
management science and information systems to form an interdisciplinary tool that supports fact-based
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
management decision making.
p1 p1 p1
A) True
B) False
18) Which of the following is not true about business analytics?
p1 p1 p1 p1 p1 p1 p1 p1 p1
A) It enables you to use statistical methods to analyze and explore data to uncover unforeseen relationships.
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
B) It enables you to use information systems methods to collect and process data sets of all sizes.
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
C) It enables you to use management science methods to develop optimization models that impact an
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
organization's strategy, planning, and operations.
p1 p1 p1 p1 p1
D) It enables you to use complex mathematics to replace the need for organizational decision making and
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
problem solving. p1 p1
19) True or False: In the current data-driven environment of business, the decisions you make will be increasingly
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
based on gut or intuition supported by personal experience.
p 1 p1 p1 p1 p1 p1 p1 p1 p1
A) True
B) False
20) Which of the following is not an attribute of big data?
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
A) Variety B) Volume p1 C) Velocity p1 D) Variegated p1
21) True or False: If rising temperatures are followed immediately by an increase in crime in urban areas, we would
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
attribute the two events to be an instance of logical causality.
p 1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
A) True
B) False
3
, 22) A study is under way in Yosemite National Forest to determine the adult height of American pine trees.
p 1 p 1 p 1 p 1 p1 p1 p 1 p1 p 1 p 1 p 1 p1 p 1 p 1 p 1 p 1 p 1
Specifically, the study is attempting to determine what factors aid a tree in reaching heights greater
p1 p 1 p 1 p 1 p 1 p 1 p1 p 1 p 1 p 1 p 1 p 1 p 1 p 1 p 1 p 1
than 60 feet tall. It is estimated that the forest contains 25,000 adult American pines. The study involves collecting
p 1 p 1 p 1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
heights from 250 randomly selected adult American pine trees and analyzing the results. Identify the variable of
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
interest in the study.
p1 p1 p1 p1
A) The number of American pine trees in Yosemite National Forest.
p1 p1 p1 p1 p1 p1 p1 p1 p1
B) The species of trees in Yosemite National Forest.
p1 p1 p1 p1 p1 p1 p1
C) The age of an American pine tree in Yosemite National Forest.
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
D) The height of an American pine tree in Yosemite National Forest.
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
23) Most analysts focus on the cost of tuition as the way to measure the cost of a college education. But incidentals,
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
such as textbook costs, are rarely considered. A researcher at Drummand University wishes to estimate the
p 1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
textbook costs of first-year students at Drummand. To do so, she monitored the textbook cost of 250 first-year
p 1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
students and found that their average textbook cost was $600 per semester. Identify the variable of interest to the
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
researcher.
p1
A) The textbook cost of first-year Drummand University students.
p1 p1 p1 p1 p1 p1 p1
B) The age of Drummand University students.
p1 p1 p1 p1 p1
C) The year in school of Drummand University students.
p1 p1 p1 p1 p1 p1 p1
D) The cost of incidental expenses of Drummand University students.
p1 p1 p1 p1 p1 p1 p1 p1
24) True or False: "Big data" is a concrete concept with a precise operational definition.
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
A) True
B) False
25) True or False: "Big data" are data being collected in huge volumes and at very fast rates, and they typically
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
p1arrive in a variety of forms, organized and unorganized.
p 1 p1 p1 p1 p1 p1 p1 p1
A) True
B) False
26) True or False: The D in the DCOVA framework stands for "data".
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
A) True
B) False
27) True or False: The D in the DCOVA framework stands for "define".
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
A) True
B) False
28) True or False: The C in the DCOVA framework stands for "categorize".
p1 p1 p1 p1 p1 p1 p1 p1 p1 p1 p1
A) True
B) False
4
