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Statistics for business & economics / David R. Anderson [and six others].

By: Contributor(s): Material type: TextTextLanguage: English Publication details: [Boston, MA] : Cengage Learning, c2020.Edition: Metric version, Fourteenth editionDescription: xxiii,1119 pages ; 28 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780357114483 (paperback)
Other title:
  • Statistics for business and economics
Subject(s): LOC classification:
  • HF1017  An2 2020
Online resources:
Contents:
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.
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Item type Current library Collection Call number Materials specified URL Status Notes Date due Barcode
Books Books Ladislao N. Diwa Memorial Library Reserve Section Non-fiction RUS HF1017 An2 2020 (Browse shelf(Opens below)) Link to resource Room use only 79123 00080702

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.

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