Test Bank for Business Statistics: For Contemporary Decision Making, 3rd Canadian Edition by Ken Black, Tiffany Bayley, and Ignacio Castillo – Complete Exam Questions & Answer Key

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TEST BANK
Business Statistics: For Contemporary Decision Making
Ken Black, Tiffany Bayley & Ignacio Castillo
3rd Canadian Edition

,@ProfdocDigitalLibraries <Best Online Study Materials>


TableofContents

1. IntroductiontoStatisticsandBusinessAnalytics

2. VisualizingtheDatawithChartsandGraphs

3. DescriptiveStatistics

4. Probability

5. DiscreteDistributions

6. ContinuousDistributions

7. SamplingandSamplingDistributions

8. StatisticalInference:EstimationforSinglePopulations

9. StatisticalInference:HypothesisTestingforSinglePopulations

10. StatisticalInferencesAboutTwoPopulations

11. AnalysisofVarianceandDesignofExperiments

12. SimpleRegressionAnalysisandCorrelation

13. MultipleRegressionAnalysis

14. BuildingMultipleRegressionModels

15. Time-SeriesForecastingandIndexNumbers

16. AnalysisofCategoricalData

17. NonparametricStatistics

18. StatisticalQualityControl

19. DecisionAnalysis

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CHAPTER 1
INTRODUCTION TO STATISTICS
TRUE-FALSE STATEMENTS

(All Chapters Download link at the end of this file)

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