9781Q
26&
TEST BANK
BUSINESS STATISTICS AND
ANALYTICS IN PRACTICE
1
, 9781Q
26&
Table Of Contents
Chapter 1 An Introduction To Business Statistics And Analytics
Chapter 2 Descriptive Statistics And Analytics: Tabular And Graphical Methods
Chapter 3 Descriptive Statistics And Analytics: Numerical Methods
Chapter 4 Probability And Probability Models
Chapter 5 Predictive Analytics I: Trees, K-Nearest Neighbors, Naive Bayes’, And Ensemble Estimates
Chapter 6 Discrete Random Variables
Chapter 7 Continuous Random Variables
Chapter 8 Sampling Distributions
Chapter 9 Confidence Intervals
Chapter 10 Hypothesis Testing
Chapter 11 Statistical Inferences Based On Two Samples
Chapter 12 Experimental Design And Analysis Of Variance
Chapter 13 Chi-Square Tests Chapter 14 Simple Linear Regression Analysis
Chapter 15 Multiple Regression And Model Building
Chapter 16 Predictive Analytics II: Logis¬Tic Regression, Discriminate Analysis, And Neural Networks
Chapter 17 Time Series Forecasting And Index Numbers
Chapter 18 Nonparametric Methods
Chapter 19 Decision Theory
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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
1
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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.
1
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Chapter 1 An Introduction To Business Statistics And Analytics
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
1
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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
1
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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
1
26&
TEST BANK
BUSINESS STATISTICS AND
ANALYTICS IN PRACTICE
1
, 9781Q
26&
Table Of Contents
Chapter 1 An Introduction To Business Statistics And Analytics
Chapter 2 Descriptive Statistics And Analytics: Tabular And Graphical Methods
Chapter 3 Descriptive Statistics And Analytics: Numerical Methods
Chapter 4 Probability And Probability Models
Chapter 5 Predictive Analytics I: Trees, K-Nearest Neighbors, Naive Bayes’, And Ensemble Estimates
Chapter 6 Discrete Random Variables
Chapter 7 Continuous Random Variables
Chapter 8 Sampling Distributions
Chapter 9 Confidence Intervals
Chapter 10 Hypothesis Testing
Chapter 11 Statistical Inferences Based On Two Samples
Chapter 12 Experimental Design And Analysis Of Variance
Chapter 13 Chi-Square Tests Chapter 14 Simple Linear Regression Analysis
Chapter 15 Multiple Regression And Model Building
Chapter 16 Predictive Analytics II: Logis¬Tic Regression, Discriminate Analysis, And Neural Networks
Chapter 17 Time Series Forecasting And Index Numbers
Chapter 18 Nonparametric Methods
Chapter 19 Decision Theory
1
, 9781Q
26&
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
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26&
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
1
, 9781Q
26&
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.
1
, 9781Q
26&
Chapter 1 An Introduction To Business Statistics And Analytics
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
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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
1
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26&
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
1
