Business Statistics For Contemporary Decision Maki
Business Statistics For Contemporary Decision Maki
Business Statistics For Contemporary Decision Maki
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Test Bank For Business Statistics For Contemporary Decision Making, 3rd Canadian Edition, 3e Ken Black, Tiffany Bayley, Ignacio Castillo
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Business Statistics For Contemporary Decision Maki
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Business Statistics For Contemporary Decision Maki
Test Bank For Business Statistics For Contemporary Decision Making, 3rd Canadian Edition, 3e Ken Black, Tiffany Bayley, Ignacio Castillo
Test Bank For Business Statistics For Contemporary Decision Making, 3rd Canadian Edition, 3e Ken Black, Tiffany Bayley, Ignacio Castillo
Test Bank For Busin...
test bank for business statistics for contemporary
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Business Statistics For Contemporary Decision Maki
Business Statistics For Contemporary Decision Maki
Business Statistics For Contemporary Decision Maki
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Test Bank for
Business Statistics
For Contemporary
Decision Making, 3rd
Canadian Edition, 3e
Ken Black, Tiffany
Bayley, Ignacio
Castillo (All Chapters
Download link at the
end of this file)
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, CHAPTER 1
INTRODUCTION TO STATISTICS
TRUE-FALSE STATEMENTS
1. Virtually all areas of business use statistics in decision making.
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: 1.1 Basic Statistical Concepts
Blooms: Knowledge
AACSB: Analytic
2. 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: 1.1 Basic Statistical Concepts
Blooms: Knowledge
AACSB: Analytic
3. 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: 1.1 Basic Statistical Concepts
Blooms: Knowledge
AACSB: Analytic
4. A descriptive measure of the population is called a parameter.
Answer: True
Difficulty: Easy
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, Introduction to Statistics 1-2
Learning Objective: Define important statistical terms, including population, sample, and
parameter, as they relate to descriptive and inferential statistics.
Section Reference: 1.1 Basic Statistical Concepts
Blooms: Knowledge
AACSB: Analytic
5. 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: 1.1 Basic Statistical Concepts
Blooms: Knowledge
AACSB: Analytic
6. Statistics is commonly divided into two branches called descriptive statistics and summary
statistics.
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: 1.1 Basic Statistical Concepts
Blooms: Knowledge
AACSB: Analytic
7. Statistics is commonly divided into two branches called descriptive statistics and inferential
statistics.
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: 1.1 Basic Statistical Concepts
Blooms: Knowledge
AACSB: Analytic
8. A descriptive measure of the sample is called a statistic.
Answer: True
Difficulty: Easy
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, 1-3 Test Bank for Business Statistics, Third Canadian Edition
Learning Objective: Define important statistical terms, including population, sample, and
parameter, as they relate to descriptive and inferential statistics.
Section Reference: 1.1 Basic Statistical Concepts
Blooms: Knowledge
AACSB: Analytic
9. 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: 1.1 Basic Statistical Concepts
Blooms: Knowledge
AACSB: Analytic
10. Gathering data from a sample to reach conclusions about the population from which the
sample was drawn is called inferential statistics.
Answer: True
Difficulty: Medium
Learning Objective: Define important statistical terms, including population, sample, and
parameter, as they relate to descriptive and inferential statistics.
Section Reference: 1.1 Basic Statistical Concepts
Blooms: Knowledge
AACSB: Analytic
11. The basis for inferential statistics is the ability to make decisions about population
parameters without having to complete a census of 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: 1.1 Basic Statistical Concepts
Blooms: Knowledge
AACSB: Analytic
12. All numerical data must be analyzed statistically in the same way because all of them are
represented by numbers.
Answer: False
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