Statistics for business & economics /
Anderson, David Ray
Statistics for business & economics / Statistics for business and economics David R. Anderson [and six others]. - Metric version, Fourteenth edition - [Boston, MA] : Cengage Learning, c2020. - xxiii,1119 pages ; 28 cm
Cover -- Title Page -- Copyright Page -- Brief Contents -- Contents -- About the Authors -- Preface -- CHAPTER 1 Data and Statistics -- Statistics in Practice: Bloomberg Businessweek -- 1.1 Applications in Business and Economics -- Accounting -- Finance -- Marketing -- Production -- Economics -- Information Systems -- 1.2 Data -- Elements, Variables, and Observations -- Scales of Measurement -- Categorical and Quantitative Data -- Cross-Sectional and Time Series Data -- 1.3 Data Sources -- Existing Sources -- Observational Study -- Experiment -- Time and Cost Issues -- Data Acquisition Errors
1.4 Descriptive Statistics -- 1.5 Statistical Inference -- 1.6 Analytics -- 1.7 Big Data and Data Mining -- 1.8 Computers and Statistical Analysis -- 1.9 Ethical Guidelines for Statistical Practice -- Summary -- Glossary -- Supplementary Exercises -- Appendix 1.1 Opening and Saving DATA Files and Converting to Stacked form with JMP -- CHAPTER 2 Descriptive Statistics: Tabular and Graphical Displays -- Statistics in Practice: Colgate-Palmolive Company -- 2.1 Summarizing Data for a Categorical Variable -- Frequency Distribution -- Relative Frequency and Percent Frequency Distributions
Bar Charts and Pie Charts -- 2.2 Summarizing Data for a Quantitative Variable -- Frequency Distribution -- Relative Frequency and Percent Frequency Distributions -- Dot Plot -- Histogram -- Cumulative Distributions -- Stem-and-Leaf Display -- 2.3 Summarizing Data for Two Variables Using Tables -- Crosstabulation -- Simpson's Paradox -- 2.4 Summarizing Data for Two Variables Using Graphical Displays -- Scatter Diagram and Trendline -- Side-by-Side and Stacked Bar Charts -- 2.5 Data Visualization: Best Practices in Creating Effective Graphical Displays -- Creating Effective Graphical Displays
Choosing the Type of Graphical Display -- Data Dashboards -- Data visualization in Practice: Cincinnati Zoo and Botanical Garden -- Summary -- Glossary -- Key Formulas -- Supplementary Exercises -- Case Problem 1: Pelican Stores -- Case Problem 2: Movie Theater Releases -- Case Problem 3: Queen City -- Case Problem 4: Cut-Rate Machining, Inc. -- Appendix 2.1 Creating Tabular and Graphical Presentations with JMP -- Appendix 2.2 Creating Tabular and Graphical Presentations with Excel -- CHAPTER 3 Descriptive Statistics: Numerical Measures -- Statistics in Practice: Small Fry Design
3.1 Measures of Location -- Mean -- Weighted Mean -- Median -- Geometric Mean -- Mode -- Percentiles -- Quartiles -- 3.2 Measures of Variability -- Range -- Interquartile Range -- Variance -- Standard Deviation -- Coefficient of Variation -- 3.3 Measures of Distribution shape, Relative Location, and Detecting Outliers -- Distribution Shape -- z-Scores -- Chebyshev's Theorem -- Empirical Rule -- Detecting Outliers -- 3.4 Five-Number Summaries and Boxplots -- Five-Number Summary -- Boxplot -- Comparative Analysis Using Boxplots -- 3.5 Measures of Association Between Two Variables -- Covariance.
9780357114483 (paperback)
Commercial statistics--Methodology
Economics--Statistical methods
HF1017 / An2 2020
Statistics for business & economics / Statistics for business and economics David R. Anderson [and six others]. - Metric version, Fourteenth edition - [Boston, MA] : Cengage Learning, c2020. - xxiii,1119 pages ; 28 cm
Cover -- Title Page -- Copyright Page -- Brief Contents -- Contents -- About the Authors -- Preface -- CHAPTER 1 Data and Statistics -- Statistics in Practice: Bloomberg Businessweek -- 1.1 Applications in Business and Economics -- Accounting -- Finance -- Marketing -- Production -- Economics -- Information Systems -- 1.2 Data -- Elements, Variables, and Observations -- Scales of Measurement -- Categorical and Quantitative Data -- Cross-Sectional and Time Series Data -- 1.3 Data Sources -- Existing Sources -- Observational Study -- Experiment -- Time and Cost Issues -- Data Acquisition Errors
1.4 Descriptive Statistics -- 1.5 Statistical Inference -- 1.6 Analytics -- 1.7 Big Data and Data Mining -- 1.8 Computers and Statistical Analysis -- 1.9 Ethical Guidelines for Statistical Practice -- Summary -- Glossary -- Supplementary Exercises -- Appendix 1.1 Opening and Saving DATA Files and Converting to Stacked form with JMP -- CHAPTER 2 Descriptive Statistics: Tabular and Graphical Displays -- Statistics in Practice: Colgate-Palmolive Company -- 2.1 Summarizing Data for a Categorical Variable -- Frequency Distribution -- Relative Frequency and Percent Frequency Distributions
Bar Charts and Pie Charts -- 2.2 Summarizing Data for a Quantitative Variable -- Frequency Distribution -- Relative Frequency and Percent Frequency Distributions -- Dot Plot -- Histogram -- Cumulative Distributions -- Stem-and-Leaf Display -- 2.3 Summarizing Data for Two Variables Using Tables -- Crosstabulation -- Simpson's Paradox -- 2.4 Summarizing Data for Two Variables Using Graphical Displays -- Scatter Diagram and Trendline -- Side-by-Side and Stacked Bar Charts -- 2.5 Data Visualization: Best Practices in Creating Effective Graphical Displays -- Creating Effective Graphical Displays
Choosing the Type of Graphical Display -- Data Dashboards -- Data visualization in Practice: Cincinnati Zoo and Botanical Garden -- Summary -- Glossary -- Key Formulas -- Supplementary Exercises -- Case Problem 1: Pelican Stores -- Case Problem 2: Movie Theater Releases -- Case Problem 3: Queen City -- Case Problem 4: Cut-Rate Machining, Inc. -- Appendix 2.1 Creating Tabular and Graphical Presentations with JMP -- Appendix 2.2 Creating Tabular and Graphical Presentations with Excel -- CHAPTER 3 Descriptive Statistics: Numerical Measures -- Statistics in Practice: Small Fry Design
3.1 Measures of Location -- Mean -- Weighted Mean -- Median -- Geometric Mean -- Mode -- Percentiles -- Quartiles -- 3.2 Measures of Variability -- Range -- Interquartile Range -- Variance -- Standard Deviation -- Coefficient of Variation -- 3.3 Measures of Distribution shape, Relative Location, and Detecting Outliers -- Distribution Shape -- z-Scores -- Chebyshev's Theorem -- Empirical Rule -- Detecting Outliers -- 3.4 Five-Number Summaries and Boxplots -- Five-Number Summary -- Boxplot -- Comparative Analysis Using Boxplots -- 3.5 Measures of Association Between Two Variables -- Covariance.
9780357114483 (paperback)
Commercial statistics--Methodology
Economics--Statistical methods
HF1017 / An2 2020