TEST BANK for Business Statistics and Analytics in Practice, 9th Edition Bowerman ||ISBN:978-1260287844||(All Chapters included) Chapter 1-20 ,LATEST UPDATED VERSION , ALREADY GRADED A+

TEST BANK
for Business Statistics and Analytics in Practice, 9th
Edition Bowerman (All Chapters included) Chapter
1-20 ,LATEST UPDATED VERSION

, Chapter 01 Test Bank Static KEY

1. A population is a set of existing units.

TRUE

AACSB: Reflective Thinking
Blooms: Remember
Difficulty: 1 Easy
Learning Objective: 01-07 Describe the difference between a population and a sample.
Topic: Populations, Samples, and Traditional Statistics

2. If we examine some of the population measurements, we are conducting a census of the
population.

FALSE

A census is defined as examining all of the population measurements.

AACSB: Reflective Thinking
Blooms: Understand
Difficulty: 2 Medium
Learning Objective: 01-07 Describe the difference between a population and a sample.
Topic: Populations, Samples, and Traditional Statistics

3. A random sample is selected so that every element in the population has the same chance of
being included in the sample.

TRUE

AACSB: Reflective Thinking
Blooms: Remember
Difficulty: 1 Easy
Learning Objective: 01-09 Explain the concept of random sampling and select a random sample.
Topic: Random Sampling, Three Case Studies That Illustrate Statistical Inference, and Statistical Modeling

4. An example of a quantitative variable is the manufacturer of a car.

FALSE

This is an example of a qualitative or categorical variable.

AACSB: Reflective Thinking
Blooms: Understand
Difficulty: 1 Easy
Learning Objective: 01-02 Describe the difference between a quantitative variable and a qualitative variable.
Topic: Data




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,5. An example of a qualitative variable is the mileage of a car.

FALSE

This is an example of a quantitative variable.

AACSB: Reflective Thinking
Blooms: Understand
Difficulty: 1 Easy
Learning Objective: 01-02 Describe the difference between a quantitative variable and a qualitative variable.
Topic: Data

6. Statistical inference is the science of using a sample of measurements to make generalizations
about the important aspects of a population of measurements.

TRUE

AACSB: Reflective Thinking
Blooms: Remember
Difficulty: 2 Medium
Learning Objective: 01-08 Distinguish between descriptive statistics and statistical inference.
Topic: Populations, Samples, and Traditional Statistics

7. Time series data are data collected at the same time period.




FALSE

Time series data are collected over different time periods.

AACSB: Reflective Thinking
Blooms: Remember
Difficulty: 1 Easy
Learning Objective: 01-03 Describe the difference between cross-sectional data and time series data.
Topic: Data

8. Cross-sectional data are data collected at the same point in time.

TRUE

AACSB: Reflective Thinking
Blooms: Remember
Difficulty: 1 Easy
Learning Objective: 01-03 Describe the difference between cross-sectional data and time series data.
Topic: Data




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McGraw-Hill Education.

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, 9. Daily temperature in a local community collected over a 30-day time period is an example of
cross-sectional data.

FALSE

Cross-sectional data are collected at the same point in time. This is an example of time series
data.

AACSB: Reflective Thinking
Blooms: Understand
Difficulty: 1 Easy
Learning Objective: 01-03 Describe the difference between cross-sectional data and time series data.
Topic: Data

10. The number of sick days taken by employees in 2008 for the top 10 technology companies is an
example of time series data.

FALSE

This is an example of cross-sectional data. Time series data are collected at different time
periods.

AACSB: Reflective Thinking
Blooms: Understand
Difficulty: 1 Easy
Learning Objective: 01-03 Describe the difference between cross-sectional data and time series data.
Topic: Data

11. The number of sick days per month taken by employees for the last 10 years at Apex Co. is an
example of time series data.

TRUE

AACSB: Reflective Thinking
Blooms: Understand
Difficulty: 2 Medium
Learning Objective: 01-03 Describe the difference between cross-sectional data and time series data.
Topic: Data

12. A quantitative variable can also be referred to as a categorical variable.

FALSE

Qualitative variables are also known as categorical variables.

AACSB: Reflective Thinking
Blooms: Understand
Difficulty: 1 Easy
Learning Objective: 01-02 Describe the difference between a quantitative variable and a qualitative variable.
Topic: Data




1-3
Copyright © 2017 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of
McGraw-Hill Education.

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