TEST BANK
Business Statistics and Analytics in
Practice, 9th Edition by Bruce L.
Bowerman
Complete Chapters Test Bank
are included (Ch 1 to 19)
** Immediate Download
** Swift Response
** All Chapters included
,Business Statistics and Analytics in Practice, 9e (Bowerman)
Chapter 1 An Introduction to Business Statistics and Analytics
1) A population is a set that includes all elements about which we wish to draw a conclusion.
Answer: TRUE
Difficulty: 1 Easy
Topic: Populations, Samples, and Traditional Statistics
Learning Objective: 01-07 Describe the difference between a population and a sample.
Bloom's: Remember
AACSB: Reflective Thinking
Accessibility: Keyboard Navigation
2) If we examine some of the population measurements, we are conducting a census of the
population.
Answer: FALSE
Explanation: A census is defined as examining all of the population measurements.
Difficulty: 2 Medium
Topic: Populations, Samples, and Traditional Statistics
Learning Objective: 01-07 Describe the difference between a population and a sample.
Bloom's: Understand
AACSB: Reflective Thinking
Accessibility: Keyboard Navigation
3) A random sample is selected so that every element in the population has the same chance of
being included in the sample.
Answer: TRUE
Difficulty: 1 Easy
Topic: Random Sampling and Three Case Studies That Illustrate Statistical Inference
Learning Objective: 01-09 Explain the concept of random sampling and select a random sample.
Bloom's: Remember
AACSB: Reflective Thinking
Accessibility: Keyboard Navigation
1
, 4) An example of a quantitative variable is the manufacturer of a car.
Answer: FALSE
Explanation: This is an example of a qualitative or categorical variable.
Difficulty: 1 Easy
Topic: Data
Learning Objective: 01-02 Describe the difference between a quantitative variable and a
qualitative variable.
Bloom's: Understand
AACSB: Reflective Thinking
Accessibility: Keyboard Navigation
5) An example of a qualitative variable is the mileage of a car.
Answer: FALSE
Explanation: This is an example of a quantitative variable.
Difficulty: 1 Easy
Topic: Data
Learning Objective: 01-02 Describe the difference between a quantitative variable and a
qualitative variable.
Bloom's: Understand
AACSB: Reflective Thinking
Accessibility: Keyboard Navigation
6) Statistical inference is the science of using a sample of measurements to make generalizations
about the important aspects of a population of measurements.
Answer: TRUE
Difficulty: 2 Medium
Topic: Populations, Samples, and Traditional Statistics
Learning Objective: 01-08 Distinguish between descriptive statistics and statistical inference.
Bloom's: Remember
AACSB: Reflective Thinking
Accessibility: Keyboard Navigation
7) Time series data are data collected at the same time period.
Answer: FALSE
Explanation: Time series data are collected over different time periods.
Difficulty: 1 Easy
Topic: Data
Learning Objective: 01-03 Describe the difference between cross-sectional data and time series
data.
Bloom's: Remember
AACSB: Reflective Thinking
Accessibility: Keyboard Navigation
8) Cross-sectional data are data collected at the same or approximately the same point in time.
2
Business Statistics and Analytics in
Practice, 9th Edition by Bruce L.
Bowerman
Complete Chapters Test Bank
are included (Ch 1 to 19)
** Immediate Download
** Swift Response
** All Chapters included
,Business Statistics and Analytics in Practice, 9e (Bowerman)
Chapter 1 An Introduction to Business Statistics and Analytics
1) A population is a set that includes all elements about which we wish to draw a conclusion.
Answer: TRUE
Difficulty: 1 Easy
Topic: Populations, Samples, and Traditional Statistics
Learning Objective: 01-07 Describe the difference between a population and a sample.
Bloom's: Remember
AACSB: Reflective Thinking
Accessibility: Keyboard Navigation
2) If we examine some of the population measurements, we are conducting a census of the
population.
Answer: FALSE
Explanation: A census is defined as examining all of the population measurements.
Difficulty: 2 Medium
Topic: Populations, Samples, and Traditional Statistics
Learning Objective: 01-07 Describe the difference between a population and a sample.
Bloom's: Understand
AACSB: Reflective Thinking
Accessibility: Keyboard Navigation
3) A random sample is selected so that every element in the population has the same chance of
being included in the sample.
Answer: TRUE
Difficulty: 1 Easy
Topic: Random Sampling and Three Case Studies That Illustrate Statistical Inference
Learning Objective: 01-09 Explain the concept of random sampling and select a random sample.
Bloom's: Remember
AACSB: Reflective Thinking
Accessibility: Keyboard Navigation
1
, 4) An example of a quantitative variable is the manufacturer of a car.
Answer: FALSE
Explanation: This is an example of a qualitative or categorical variable.
Difficulty: 1 Easy
Topic: Data
Learning Objective: 01-02 Describe the difference between a quantitative variable and a
qualitative variable.
Bloom's: Understand
AACSB: Reflective Thinking
Accessibility: Keyboard Navigation
5) An example of a qualitative variable is the mileage of a car.
Answer: FALSE
Explanation: This is an example of a quantitative variable.
Difficulty: 1 Easy
Topic: Data
Learning Objective: 01-02 Describe the difference between a quantitative variable and a
qualitative variable.
Bloom's: Understand
AACSB: Reflective Thinking
Accessibility: Keyboard Navigation
6) Statistical inference is the science of using a sample of measurements to make generalizations
about the important aspects of a population of measurements.
Answer: TRUE
Difficulty: 2 Medium
Topic: Populations, Samples, and Traditional Statistics
Learning Objective: 01-08 Distinguish between descriptive statistics and statistical inference.
Bloom's: Remember
AACSB: Reflective Thinking
Accessibility: Keyboard Navigation
7) Time series data are data collected at the same time period.
Answer: FALSE
Explanation: Time series data are collected over different time periods.
Difficulty: 1 Easy
Topic: Data
Learning Objective: 01-03 Describe the difference between cross-sectional data and time series
data.
Bloom's: Remember
AACSB: Reflective Thinking
Accessibility: Keyboard Navigation
8) Cross-sectional data are data collected at the same or approximately the same point in time.
2
