MG
Basic Business Statistics: Concepts and
EE Applications – 14th Edition
K?
TEST BANK
_AP
PR
O
Mark L. Berenson
VE
David M. Levine
D?
David F. Stephan ?
Comprehensive Test Bank for Instructors
and Students
© Mark L. Berenson, David M. Levine & David F. Stephan
All rights reserved. Reproduction or distribution without permission is prohibited.
©MedGeek Libraries
, Table of Contents
MG
Preface iv
Getting Started: Important Things to Learn First
EE GS-1
Chapter 1 Defining and Collecting Data 1-1
Chapter 2 Organizing and Visualizing Variables
K? 2-1
Chapter 3 Numerical Descriptive Measures 3-1
Chapter 4 Basic Probability
_AP 4-1
Chapter 5 Discrete Probability Distributions 5-1
Chapter 6 The Normal Distribution and Other Continuous Distributions 6-1
Chapter 7 Sampling Distributions 7-1
Chapter 8 Confidence Interval Estimation
PR 8-1
Chapter 9 Fundamentals of Hypothesis Testing: One-Sample Tests 9-1
Chapter 10 Two-Sample Tests
OV 10-1
Chapter 11 Analysis of Variance ED 11-1
Chapter 12 Chi-Square Tests and Nonparametric Tests 12-1
Chapter 13 Simple Linear Regression 13-1
??
Chapter 14 Introduction to Multiple Regression 14-1
Chapter 15 Multiple Regression Model Building 15-1
Chapter 16 Time-Series Forecasting 16-1
Chapter 17 Business Analytics 17-1
Chapter 18 A Roadmap for Analyzing Data 18-1
Online Statistical Applications in Quality Management 19-1
Chapter 19
Online Decision Making 20-1
Chapter 20
Online Topics OLT-1
iii
Copyright ©2019 Pearson Education, Inc.
, Important Things to Learn First GS-1
MG
GETTING STARTED: IMPORTANT THINGS TO LEARN
FIRST
1. The process of using data collected from a small group to reach conclusions about a large group
EE is called
a) statistical inference.
b) DCOVA framework.
c) operational definition.
K?
d) descriptive statistics.
ANSWER:
a
_AP
TYPE: MC DIFFICULTY: Easy
KEYWORDS: 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.
PR
d) descriptive statistics. OV
ANSWER:
d
TYPE: MC DIFFICULTY: Easy
KEYWORDS: descriptive statistics
ED
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.
??
ANSWER:
b
TYPE: MC DIFFICULTY: Easy
KEYWORDS: 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.
ANSWER:
a
TYPE: MC DIFFICULTY: Easy
KEYWORDS: inferential statistics
Copyright ©2019 Pearson Education, Inc.
, GS-2 Important Things to Learn First
MG 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.
EE
ANSWER:
a
TYPE: MC DIFFICULTY: Moderate
K?
KEYWORDS: 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
_AP
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.
PR
d) The species of trees in Yosemite National Forest.
ANSWER:
b
TYPE: MC DIFFICULTY: Easy
KEYWORDS: variable
OV
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
ED
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.
ANSWER:
a
TYPE: MC DIFFICULTY: Easy
KEYWORDS: variable
8. True or False: 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.
ANSWER:
True
TYPE: TF DIFFICULTY: Easy
KEYWORDS: statistical package
Copyright ©2019 Pearson Education, Inc.
Basic Business Statistics: Concepts and
EE Applications – 14th Edition
K?
TEST BANK
_AP
PR
O
Mark L. Berenson
VE
David M. Levine
D?
David F. Stephan ?
Comprehensive Test Bank for Instructors
and Students
© Mark L. Berenson, David M. Levine & David F. Stephan
All rights reserved. Reproduction or distribution without permission is prohibited.
©MedGeek Libraries
, Table of Contents
MG
Preface iv
Getting Started: Important Things to Learn First
EE GS-1
Chapter 1 Defining and Collecting Data 1-1
Chapter 2 Organizing and Visualizing Variables
K? 2-1
Chapter 3 Numerical Descriptive Measures 3-1
Chapter 4 Basic Probability
_AP 4-1
Chapter 5 Discrete Probability Distributions 5-1
Chapter 6 The Normal Distribution and Other Continuous Distributions 6-1
Chapter 7 Sampling Distributions 7-1
Chapter 8 Confidence Interval Estimation
PR 8-1
Chapter 9 Fundamentals of Hypothesis Testing: One-Sample Tests 9-1
Chapter 10 Two-Sample Tests
OV 10-1
Chapter 11 Analysis of Variance ED 11-1
Chapter 12 Chi-Square Tests and Nonparametric Tests 12-1
Chapter 13 Simple Linear Regression 13-1
??
Chapter 14 Introduction to Multiple Regression 14-1
Chapter 15 Multiple Regression Model Building 15-1
Chapter 16 Time-Series Forecasting 16-1
Chapter 17 Business Analytics 17-1
Chapter 18 A Roadmap for Analyzing Data 18-1
Online Statistical Applications in Quality Management 19-1
Chapter 19
Online Decision Making 20-1
Chapter 20
Online Topics OLT-1
iii
Copyright ©2019 Pearson Education, Inc.
, Important Things to Learn First GS-1
MG
GETTING STARTED: IMPORTANT THINGS TO LEARN
FIRST
1. The process of using data collected from a small group to reach conclusions about a large group
EE is called
a) statistical inference.
b) DCOVA framework.
c) operational definition.
K?
d) descriptive statistics.
ANSWER:
a
_AP
TYPE: MC DIFFICULTY: Easy
KEYWORDS: 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.
PR
d) descriptive statistics. OV
ANSWER:
d
TYPE: MC DIFFICULTY: Easy
KEYWORDS: descriptive statistics
ED
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.
??
ANSWER:
b
TYPE: MC DIFFICULTY: Easy
KEYWORDS: 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.
ANSWER:
a
TYPE: MC DIFFICULTY: Easy
KEYWORDS: inferential statistics
Copyright ©2019 Pearson Education, Inc.
, GS-2 Important Things to Learn First
MG 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.
EE
ANSWER:
a
TYPE: MC DIFFICULTY: Moderate
K?
KEYWORDS: 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
_AP
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.
PR
d) The species of trees in Yosemite National Forest.
ANSWER:
b
TYPE: MC DIFFICULTY: Easy
KEYWORDS: variable
OV
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
ED
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.
ANSWER:
a
TYPE: MC DIFFICULTY: Easy
KEYWORDS: variable
8. True or False: 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.
ANSWER:
True
TYPE: TF DIFFICULTY: Easy
KEYWORDS: statistical package
Copyright ©2019 Pearson Education, Inc.
