Test Bank for Business Statistics and Analytics in Practice, 9th Edition Bowerman (All Chapters included)

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




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, 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.
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