Solution Manual For Business Statistics And Analytics In Practice
2025 Release 9th Edition By Bruce L. Bowerman Anne M.
Drougas , William M. Duckworth, Amy G. Froelich & Ruth M.
Hummel . All Chapters 1-20.
SOLUTION
MANUAL
,TABLE OF CONTENT
1. An Introduction To Business Statistics And Analytics
2. Descriptive Statistics And Analytics: Tabular And Graphical Methods
3. Descriptive Statistics And Analytics: Numerical Method
4. Probability And Probability Models
5. Predictive Analytics I: Trees, K-Nearest Neighbors, Naive Bayes’, And Ensemb
Estimates
6. Discrete Random Variables
7. Continuous Random Variables
8. Sampling Distributions
9. Confidence Intervals
10. Hypothesis Testing
11. Statistical Inferences Based On Two Samples
12. Experimental Design And Analysis Of Variance
13. Chi-Square Tests
14. Simple Linear Regression Analysis
15. Multiple Regression And Model Building
16. Predictive Analytics II: Logistic Regression, Discriminate Analysis, And Neural
Networks
17. Time Series Forecasting And Index Numbers
18. Nonparametric Methods
19. Decision Theory
20. (Online) Process Improvement Using Control Charts For Website
,Chapter 1 - An Introduction to Business Statistics and Analytics
CHAPTER: 1—An Introduction To Business Statistics And Analytics
§1.1, 1.2 CONCEPTS
1.1 Any Characteristic Of A Population Element Is Called A Variable.
Quantitative: We Record Numeric Measurements That Represent
Quantities. Qualitative: We Record Which Of Several Categories The
Element Falls Into.
LO1-1, LO1-2
1.2 A. Quantitative; Dollar Amounts Correspond To Values On The Real Number Line.
b. Quantitative; Net Profit Is A Dollar Amount.
c. Qualitative; Which Stock Exchange Is A Category.
d. Quantitative; National Debt Is A Dollar Amount.
e. Qualitative; Which Type Of Medium Is A Category.
LO1-2
1.3 (1) Cross-Sectional Data Are Collected At Approximately The Same Point In Time Whereas Time
Series Data Are Collected Over Different Time Periods.
(2) The Numbers Of Cars Sold In 2017 By 10 Different Sales People Are Cross-Sectional Data.
(3) The Numbers Of Cars Sold By A Particular Sales Person For The Years 2013 – 2017 Are Time
Series Data.
LO1-3
1.4 (1) The Response Variable Is Whether Or Not The Person Has Lung Cancer.
(2) The Factors Are Age, Sex, Occupation, And Number Of Cigarettes Smoked Per Day.
(3) This Is An Observational Study.
LO1-5
1.5 A Data Warehouse Is A Central Repository Of An Organization’s Data Where The Data Can Be
Retrieved, Managed, And Analyzed. Big Data Refers To The Massive Amounts Of Data, Often
Collected In Real Time, That Sometimes Need Quick Preliminary Analysis For Effective Business
Decision Making.
LO1-6
§1.1, 1.2 METHODS AND APPLICATIONS
1.6 $398,000 For A Ruby Model On A Treed
Lot LO1-1
1.7 $494,000 For A Diamond Model On A Lake Lot; $447,000 For A Ruby Model On A
Lake Lot LO1-1
1-1
, Chapter 1 - An Introduction to Business Statistics and Analytics
1.8
1-2
2025 Release 9th Edition By Bruce L. Bowerman Anne M.
Drougas , William M. Duckworth, Amy G. Froelich & Ruth M.
Hummel . All Chapters 1-20.
SOLUTION
MANUAL
,TABLE OF CONTENT
1. An Introduction To Business Statistics And Analytics
2. Descriptive Statistics And Analytics: Tabular And Graphical Methods
3. Descriptive Statistics And Analytics: Numerical Method
4. Probability And Probability Models
5. Predictive Analytics I: Trees, K-Nearest Neighbors, Naive Bayes’, And Ensemb
Estimates
6. Discrete Random Variables
7. Continuous Random Variables
8. Sampling Distributions
9. Confidence Intervals
10. Hypothesis Testing
11. Statistical Inferences Based On Two Samples
12. Experimental Design And Analysis Of Variance
13. Chi-Square Tests
14. Simple Linear Regression Analysis
15. Multiple Regression And Model Building
16. Predictive Analytics II: Logistic Regression, Discriminate Analysis, And Neural
Networks
17. Time Series Forecasting And Index Numbers
18. Nonparametric Methods
19. Decision Theory
20. (Online) Process Improvement Using Control Charts For Website
,Chapter 1 - An Introduction to Business Statistics and Analytics
CHAPTER: 1—An Introduction To Business Statistics And Analytics
§1.1, 1.2 CONCEPTS
1.1 Any Characteristic Of A Population Element Is Called A Variable.
Quantitative: We Record Numeric Measurements That Represent
Quantities. Qualitative: We Record Which Of Several Categories The
Element Falls Into.
LO1-1, LO1-2
1.2 A. Quantitative; Dollar Amounts Correspond To Values On The Real Number Line.
b. Quantitative; Net Profit Is A Dollar Amount.
c. Qualitative; Which Stock Exchange Is A Category.
d. Quantitative; National Debt Is A Dollar Amount.
e. Qualitative; Which Type Of Medium Is A Category.
LO1-2
1.3 (1) Cross-Sectional Data Are Collected At Approximately The Same Point In Time Whereas Time
Series Data Are Collected Over Different Time Periods.
(2) The Numbers Of Cars Sold In 2017 By 10 Different Sales People Are Cross-Sectional Data.
(3) The Numbers Of Cars Sold By A Particular Sales Person For The Years 2013 – 2017 Are Time
Series Data.
LO1-3
1.4 (1) The Response Variable Is Whether Or Not The Person Has Lung Cancer.
(2) The Factors Are Age, Sex, Occupation, And Number Of Cigarettes Smoked Per Day.
(3) This Is An Observational Study.
LO1-5
1.5 A Data Warehouse Is A Central Repository Of An Organization’s Data Where The Data Can Be
Retrieved, Managed, And Analyzed. Big Data Refers To The Massive Amounts Of Data, Often
Collected In Real Time, That Sometimes Need Quick Preliminary Analysis For Effective Business
Decision Making.
LO1-6
§1.1, 1.2 METHODS AND APPLICATIONS
1.6 $398,000 For A Ruby Model On A Treed
Lot LO1-1
1.7 $494,000 For A Diamond Model On A Lake Lot; $447,000 For A Ruby Model On A
Lake Lot LO1-1
1-1
, Chapter 1 - An Introduction to Business Statistics and Analytics
1.8
1-2
