BNAL MIDTERM EXAMS QUESTIONS AND VERIFIED
ANSWERS
Descriptive Analytics
A) can predict risk and find relationships in data not readily apparent with traditional
analyses. B) helps companies classify their customers into segments to develop specific
marketing campaigns.
C) helps detect hidden patterns in large quantities of data to group data into sets to
predict behavior.
D) can use mathematical techniques with optimization to make decisions that take into
account the uncertainty in the data. - Answers - B
A manager at Gampco Inc. wishes to know the company's revenue and profit in its
previous quarter. Which of the following business analytics will help the manager?
A) prescriptive analytics
B) normative analytics
C) descriptive analytics D) predictive analytics - Answers - C
Predictive analytics:
A) summarizes data into meaningful charts and reports that can be standardized or
customized. B) identifies the best alternatives to minimize or maximize an objective.
C) uses data to determine a course of action to be executed in a given situation.
D) detects patterns in historical data and extrapolates them forward in time. - Answers -
D
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. - Answers - A
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.
1
, 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. - Answers - B
Which of the following is not an attribute of big data? a. Variegated
b. Velocity
c. Volume
d. Variety - Answers - A
Which of the following is a discrete quantitative (numerical) variable? a) The Dow Jones
Industrial average
b) The volume of water released from a dam
c) The distance you drove yesterday.
d) The number of employees of an insurance company - Answers - D
Which of the following is a continuous quantitative (numerical) variable? a) The color of
a student's eyes
b) The number of employees of an insurance company
c) The amount of milk in a 2-liter carton.
d) The number of gallons of milk sold at the local grocery store yesterday - Answers - C
To monitor campus security, the campus police office is taking a survey of the number
of students in a parking lot each 30 minutes of a 24-hour period with the goal of
determining when patrols of the lot would serve the most students. If X is the number of
students in the lot each period, then X is an example of
a) a categorical variable. b) a discrete variable.
c) a continuous variable. d) a statistic. - Answers - B
Nominal data:
A) are ranked according to some relationship to one another.
B) have constant differences between observations.
C) are continuous and have a natural zero.
D) are sorted into categories according to specified characteristics. - Answers - D
The classification of student major (accounting, economics, management, marketing,
other) is an example of
a) a categorical variable.
b) a discrete variable.
c) a continuous variable.
d) a table of random numbers. - Answers - A
Referring to Scenario 1-1, the possible responses to the question "How would you rate
the quality of your purchase experience with 1 = excellent, 2 = good, 3 = decent, 4 =
poor, 5 = terrible?" result in
a) a nominal scale variable.
ANSWERS
Descriptive Analytics
A) can predict risk and find relationships in data not readily apparent with traditional
analyses. B) helps companies classify their customers into segments to develop specific
marketing campaigns.
C) helps detect hidden patterns in large quantities of data to group data into sets to
predict behavior.
D) can use mathematical techniques with optimization to make decisions that take into
account the uncertainty in the data. - Answers - B
A manager at Gampco Inc. wishes to know the company's revenue and profit in its
previous quarter. Which of the following business analytics will help the manager?
A) prescriptive analytics
B) normative analytics
C) descriptive analytics D) predictive analytics - Answers - C
Predictive analytics:
A) summarizes data into meaningful charts and reports that can be standardized or
customized. B) identifies the best alternatives to minimize or maximize an objective.
C) uses data to determine a course of action to be executed in a given situation.
D) detects patterns in historical data and extrapolates them forward in time. - Answers -
D
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. - Answers - A
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.
1
, 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. - Answers - B
Which of the following is not an attribute of big data? a. Variegated
b. Velocity
c. Volume
d. Variety - Answers - A
Which of the following is a discrete quantitative (numerical) variable? a) The Dow Jones
Industrial average
b) The volume of water released from a dam
c) The distance you drove yesterday.
d) The number of employees of an insurance company - Answers - D
Which of the following is a continuous quantitative (numerical) variable? a) The color of
a student's eyes
b) The number of employees of an insurance company
c) The amount of milk in a 2-liter carton.
d) The number of gallons of milk sold at the local grocery store yesterday - Answers - C
To monitor campus security, the campus police office is taking a survey of the number
of students in a parking lot each 30 minutes of a 24-hour period with the goal of
determining when patrols of the lot would serve the most students. If X is the number of
students in the lot each period, then X is an example of
a) a categorical variable. b) a discrete variable.
c) a continuous variable. d) a statistic. - Answers - B
Nominal data:
A) are ranked according to some relationship to one another.
B) have constant differences between observations.
C) are continuous and have a natural zero.
D) are sorted into categories according to specified characteristics. - Answers - D
The classification of student major (accounting, economics, management, marketing,
other) is an example of
a) a categorical variable.
b) a discrete variable.
c) a continuous variable.
d) a table of random numbers. - Answers - A
Referring to Scenario 1-1, the possible responses to the question "How would you rate
the quality of your purchase experience with 1 = excellent, 2 = good, 3 = decent, 4 =
poor, 5 = terrible?" result in
a) a nominal scale variable.
