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,TESTBANK For Essentials of Business Statistics
1e Canadian Black
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, CHAPTER 1
INTRODUCTION TO STATISTICS
CHAPTER LEARNING OBJECTIVES

1. Define the term “statistics” and list example applications of statistics in business.


2. Define important statistical terms, including population, sample, and parameter, as they relate
to descriptive and inferential statistics.


3. Understand the difference between quantitative and categorical data.




Copyright © 2018 John Wiley & Sons Canada, Ltd. Unauthorized copying, distribution, or transmission of this page is prohibited

, Introduction to Statistics 1-2


TRUE-FALSE STATEMENTS

1. Virtually all areas of business use statistics in decision making.

Answer: True

Difficulty: Easy
Learning Objective: Define the term “statistics” and list example applications of statistics in
business.
Section Reference: 1.1 What Is Statistics?
AACSB: Communication
Bloomcode: Knowledge


2. Statistics can be used to predict the business future.

Answer: True

Difficulty: Easy
Learning Objective: Define the term “statistics” and list example applications of statistics in
business.
Section Reference: 1.1 What Is Statistics?
AACSB: Communication
Bloomcode: Knowledge


3. Statistics are used to market vitamins.

Answer: True

Difficulty: Easy
Learning Objective: Define the term “statistics” and list example applications of statistics in
business.
Section Reference: 1.1 What Is Statistics?
AACSB: Reflective Thinking
Bloomcode: Comprehension


4. A list of final grades in an introductory class in business is an example of statistics.
Answer: False

Difficulty: Easy
Learning Objective: Define the term “statistics” and list example applications of statistics in
business.
Section Reference: 1.1 What Is Statistics?
AACSB: Reflective Thinking
Bloomcode: Comprehension




Copyright © 2018 John Wiley & Sons Canada, Ltd. Unauthorized copying, distribution, or transmission of this page is prohibited

,1-3 Test Bank for Essentials of Business Statistics, Canadian Edition


5. The complete collection of all entities under study is called the sample.

Answer: False

Difficulty: Easy
Learning Objective: Define important statistical terms, including population, sample, and
parameter, as they relate to descriptive and inferential statistics.
Section Reference: 1.2 The Language of Statistics
AACSB: Communication
Bloomcode: Knowledge


6. A portion or subset of the entities under study is called the statistic.

Answer: False

Difficulty: Easy
Learning Objective: Define important statistical terms, including population, sample, and
parameter, as they relate to descriptive and inferential statistics.
Section Reference: 1.2 The Language of Statistics
AACSB: Communication
Bloomcode: Knowledge


7. A descriptive measure of the population is called a parameter.

Answer: True

Difficulty: Easy
Learning Objective: Define important statistical terms, including population, sample, and
parameter, as they relate to descriptive and inferential statistics.
Section Reference: 1.2 The Language of Statistics
AACSB: Communication
Bloomcode: Knowledge


8. A census is the process of gathering data on all the entities in the population.

Answer: True

Difficulty: Easy
Learning Objective: Define important statistical terms, including population, sample, and
parameter, as they relate to descriptive and inferential statistics.
Section Reference: 1.2 The Language of Statistics
AACSB: Communication
Bloomcode: Knowledge


9. Statistics is commonly divided into two branches called descriptive statistics and summary
statistics.



Copyright © 2018 John Wiley & Sons Canada, Ltd. Unauthorized copying, distribution, or transmission of this page is prohibited

, Introduction to Statistics 1-4


Answer: False

Difficulty: Easy
Learning Objective: Define important statistical terms, including population, sample, and
parameter, as they relate to descriptive and inferential statistics.
Section Reference: 1.2 The Language of Statistics
AACSB: Communication
Bloomcode: Knowledge


10. A descriptive measure of the sample is called a statistic.

Answer: True

Difficulty: Easy
Learning Objective: Define important statistical terms, including population, sample, and
parameter, as they relate to descriptive and inferential statistics.
Section Reference: 1.2 The Language of Statistics
AACSB: Communication
Bloomcode: Knowledge


11. Gathering data from a sample to reach conclusions about the population from which the
sample was drawn is called descriptive statistics.

Answer: False

Difficulty: Medium
Learning Objective: Define important statistical terms, including population, sample, and
parameter, as they relate to descriptive and inferential statistics.
Section Reference: 1.2 The Language of Statistics
AACSB: Communication
Bloomcode: Knowledge


12. Calculation of population parameters is usually either impossible or excessively time
consuming and costly.

Answer: True

Difficulty: Easy
Learning Objective: Define important statistical terms, including population, sample, and
parameter, as they relate to descriptive and inferential statistics.
Section Reference: 1.2 The Language of Statistics
AACSB: Communication
Bloomcode: Knowledge


13. The basis for inferential statistics is the ability to make decisions about population
parameters without having to complete a census of the population.



Copyright © 2018 John Wiley & Sons Canada, Ltd. Unauthorized copying, distribution, or transmission of this page is prohibited

,1-5 Test Bank for Essentials of Business Statistics, Canadian Edition


Answer: True

Difficulty: Easy
Learning Objective: Define important statistical terms, including population, sample, and
parameter, as they relate to descriptive and inferential statistics.
Section Reference: 1.2 The Language of Statistics
AACSB: Communication
Bloomcode: Knowledge


14. A variable is a quantity that describes each of the possible outcomes of an experiment.

Answer: True

Difficulty: Medium
Learning Objective: Understand the difference between quantitative and categorical data.
Section Reference: 1.3 Types of Data
AACSB: Communication
Bloomcode: Knowledge


15. Variables and measurement data are interchangeable terms.

Answer: False

Difficulty: Medium
Learning Objective: Understand the difference between quantitative and categorical data.
Section Reference: 1.3 Types of Data
AACSB: Reflective Thinking
Bloomcode: Comprehension


16. Measurements occur when a standard process is used to assign numbers to attributes or
characteristics of a variable.

Answer: True

Difficulty: Medium
Learning Objective: Understand the difference between quantitative and categorical data.
Section Reference: 1.3 Types of Data
AACSB: Communication
Bloomcode: Knowledge


17. All numerical data must be analyzed statistically in the same way because all of them are
represented by numbers.

Answer: False
ifficulty: Medium
Learning Objective: Understand the difference between quantitative and categorical data.
Section Reference: 1.3 Types of Data


Copyright © 2018 John Wiley & Sons Canada, Ltd. Unauthorized copying, distribution, or transmission of this page is prohibited

, Introduction to Statistics 1-6


AACSB: Reflective Thinking
Bloomcode: Comprehension




Copyright © 2018 John Wiley & Sons Canada, Ltd. Unauthorized copying, distribution, or transmission of this page is prohibited

,1-7 Test Bank for Essentials of Business Statistics, Canadian Edition


MULTIPLE CHOICE QUESTIONS

18. Which of the following statements about business statistics is not true?
a) Virtually every area of business uses statistics in decision making.
b) Presenting business statistics always requires the use of a specific graph called a bar chart.
c) There is a wide variety of uses and applications of statistics in business.
d) Business statistics can be used to forecast future values and predict trends.

Answer: b

Difficulty: Easy
Learning Objective: Define the term “statistics” and list example applications of statistics in
business.
Section Reference: 1.1 What Is Statistics?
AACSB: Communication
Bloomcode: Knowledge


19. Which of the following is not a key element of statistics?
a) collection of data
b) interpreting data
c) analyzing data
d) presenting data requires only pie chart

Answer: d

Difficulty: Easy
Learning Objective: Define the term “statistics” and list example applications of statistics in
business.
Section Reference: 1.1 What Is Statistics?
AACSB: Communication
Bloomcode: Knowledge


20. Which of the following does not reflect statistics?
a) It describes ways of analyzing categorical data.
b) It describes methods of collecting data.
c) It involves interpreting data.
d) It describes methods of analyzing data.

Answer: a

Difficulty: Easy
Learning Objective: Define the term “statistics” and list example applications of statistics in
business.
Section Reference: 1.1 What Is Statistics?
AACSB: Communication
Bloomcode: Knowledge




Copyright © 2018 John Wiley & Sons Canada, Ltd. Unauthorized copying, distribution, or transmission of this page is prohibited

, Introduction to Statistics 1-8



21. In statistics, conducting a survey means
a) collecting information from elements.
b) making mathematical calculations.
c) presenting data.
d) drawing graphs.

Answer: a

Difficulty: Easy
Learning Objective: Define the term “statistics” and list example applications of statistics in
business.
Section Reference: 1.1 What Is Statistics?
AACSB: Communication
Bloomcode: Knowledge


22. What is the first stage in statistics?
a) Organize data.
b) Identify the population to be studied.
c) Analyze data.
d) Summarize data.

Answer: b

Difficulty: Easy
Learning Objective: Define the term “statistics” and list example applications of statistics in
business.
Section Reference: 1.1 What Is Statistics?
AACSB: Communication
Bloomcode: Knowledge


23. Rebecca Sear, Marketing Director of a regional restaurant chain, is directing a study to
identify and assess the in-dining experience of the customers at one of the restaurants. She
directs her staff to design a web-based market survey for distribution to all of the restaurant’s
1265 customers who enjoyed a meal during the past 6 months. For this study, the set of 1265
customers is ___.
a) a parameter
b) a sample
c) the population
d) a statistic
e) the frame

Answer: c

Difficulty: Easy
Learning Objective: Define important statistical terms, including population, sample, and
parameter, as they relate to descriptive and inferential statistics.
Section Reference: 1.2 The Language of Statistics
AACSB: Reflective Thinking


Copyright © 2018 John Wiley & Sons Canada, Ltd. Unauthorized copying, distribution, or transmission of this page is prohibited

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