Understanding Business Statistics

Understanding Business Statistics

by Ned Freed, Stacey Jones, Timothy Bergquist
Released December 2013
Publisher(s): Wiley
ISBN: 9781118145258

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Book description

Written in a conversational tone, Freed, Understanding Business Statistics presents topics in a systematic and organized manner to help students navigate the material. Demonstration problems appear alongside the concepts, which makes the content easier to understand. By explaining the reasoning behind each exercise, students are more inclined to engage with the material and gain a clear understanding of how to apply statistics to the business world.

Freed, Understanding Business Statistics is accompanied by WileyPLUS, a research-based, online environment for effective teaching and learning. This online learning system gives students instant feedback on homework assignments, provides video tutorials and variety of study tools, and offers instructors thousands of reliable, accurate problems (including every problem from the book) to deliver automatically graded assignments or tests. Available in or outside of the Blackboard Learn Environment, WileyPLUS resources help reach all types of learners and give instructors the tools they need to enhance course material.

WileyPLUS sold separately from text.

Table of contents

  1. Cover Page
  2. Title Page
  3. Copyright
  4. Brief Contents
  5. Praise for Understanding Business Statistics
  6. About the Authors
  7. Contents
  8. Preface
  9. Acknowledgments
  10. Chapter 1: An Introduction to Statistics
    1. 1.1 Statistics Defined
    2. 1.2 Branches of Statistics
    3. 1.3 Two Views of the World
    4. 1.4 The Nature of Data
    5. 1.5 Data Sources
    6. 1.6 Ethics in Statistics
    7. 1.7 The Text
    8. 1.8 A Final Comment
    9. Glossary
    10. Chapter Exercises
  11. Chapter 2: Descriptive Statistics I: Elementary Data Presentation and Description
    1. 2.1 Measures of Central Location or Central Tendency
    2. 2.2 Measures of Dispersion
    3. 2.3 Frequency Distributions
    4. 2.4 Relative Frequency Distributions
    5. 2.5 Cumulative Distributions
    6. 2.6 Grouped Data
    7. Key Formulas
    8. Glossary
    9. Chapter Exercises
    10. Excel Exercises (Excel 2013)
  12. Chapter 3: Descriptive Statistics II: Additional Descriptive Measures and Data Displays
    1. 3.1 Percentiles and Quartiles
    2. 3.2 Exploratory Data Analysis
    3. 3.3 Identifying Outliers
    4. 3.4 Measures of Association
    5. 3.5 Additional Descriptive Measures
    6. Key Formulas
    7. Glossary
    8. Chapter Exercises
    9. Excel Exercises (Excel 2013)
  13. Chapter 4: Probability
    1. 4.1 Basic Concepts
    2. 4.2 The Rules of Probability
    3. 4.3 Venn Diagrams
    4. 4.4 A General Problem Solving Strategy
    5. 4.5 Counting Outcomes
    6. Key Formulas
    7. Glossary
    8. Chapter Exercises
    9. Excel Exercises (Excel 2013)
  14. Chapter 5: Discrete Probability Distributions
    1. 5.1 Probability Experiments and Random Variables
    2. 5.2 Building a Discrete Probability Distribution
    3. 5.3 Displaying and Summarizing the Distribution
    4. 5.4 The Binomial Probability Distribution
    5. 5.5 The Poisson Distribution
    6. Key Formulas
    7. Glossary
    8. Chapter Exercises
    9. Excel Exercises (Excel 2013)
  15. Chapter 6: Continuous Probability Distributions
    1. 6.1 Continuous vs. Discrete Distributions
    2. 6.2 The Uniform Probability Distribution
    3. 6.3 The Normal Distribution
    4. 6.4 The Exponential Distribution
    5. Key Formulas
    6. Glossary
    7. Chapter Exercises
    8. Excel Exercises (Excel 2013)
  16. Chapter 7: Statistical Inference: Estimating A Population Mean
    1. 7.1 The Nature of Sampling
    2. 7.2 Developing a Sampling Plan
    3. 7.3 Confidence Intervals and the Role of the Sampling Distribution
    4. 7.4 Building Intervals when the Population Standard Deviation Is Unknown
    5. 7.5 Determining Sample Size
    6. Key Formulas
    7. Glossary
    8. Chapter Exercises
    9. Excel Exercises (Excel 2013)
  17. Chapter 8: Interval Estimates for Proportions, Mean Differences, and Proportion Differences
    1. 8.1 Estimating a Population Proportion
    2. 8.2 Estimating the Difference between Two Population Means (Independent Samples)
    3. 8.3 Estimating the Difference between Two Population Proportions
    4. 8.4 Matched Samples
    5. Key Formulas
    6. Glossary
    7. Chapter Exercises
    8. Excel Exercises (Excel 2013)
  18. Chapter 9: Statistical Hypothesis Testing: Hypothesis Tests For A Population Mean
    1. 9.1 The Nature of Hypothesis Testing
    2. 9.2 Establishing the Hypotheses
    3. 9.3 Developing a One-Tailed Test
    4. 9.4 The Possibility of Error
    5. 9.5 Two-Tailed Tests
    6. 9.6 Using the t Distribution
    7. Key Formulas
    8. Glossary
    9. Chapter Exercises
    10. Excel Exercises (Excel 2013)
  19. Chapter 10: Hypothesis Tests for Proportions, Mean Differences, and Proportion Differences
    1. 10.1 Tests for a Population Proportion
    2. 10.2 Tests for the Difference Between Two Population Means (Independent Samples)
    3. 10.3 Tests for the Difference Between Two Population Proportions
    4. 10.4 Matched Samples
    5. Key Formulas
    6. Chapter Exercises
    7. Excel Exercises (Excel 2013)
  20. Chapter 11: Basic Regression Analysis
    1. 11.1 An Introduction to Regression
    2. 11.2 Simple Linear Regression: The Basic Procedure
    3. 11.3 Performance Measures in Regression: How Well Did We Do?
    4. 11.4 The Inference Side of Regression Analysis
    5. 11.5 Estimating the Intercept and Slope Terms for the Population Regression Line
    6. 11.6 The Key Hypothesis Test in Simple Regression
    7. 11.7 Estimating Values of y
    8. 11.8 A Complete Printout for Simple Linear Regression
    9. 11.9 Checking Errors (Residuals)
    10. Key Formulas
    11. Glossary
    12. Chapter Exercises
    13. Excel Exercises (Excel 2013)
  21. Chapter 12: Multiple Regression
    1. 12.1 The F Distribution
    2. 12.2 Using the F Distribution in Simple Regression
    3. 12.3 An Introduction to Multiple Regression
    4. 12.4 The Inference Side of Multiple Regression
    5. 12.5 Building a Regression Model
    6. Key Formulas
    7. Glossary
    8. Chapter Exercises
    9. Excel Exercises (Excel 2013)
  22. Chapter 13: F Tests and Analysis of Variance
    1. 13.1 The F Distribution
    2. 13.2 Testing the Equality of Two Population Variances
    3. 13.3 Testing the Equality of Means for Multiple Populations: One-Way Analysis of Variance
    4. 13.4 Experimental Design
    5. Key Formulas
    6. Glossary
    7. Chapter Exercises
    8. Excel Exercises (Excel 2013)
  23. Chapter 14: Chi-Square Tests
    1. 14.1 The Chi-Square (χ2) Distribution
    2. 14.2 Chi-Square Tests for Differences in Population Proportions
    3. 14.3 Chi-Square Goodness-of-Fit Tests
    4. 14.4 Chi-Square Tests of Independence
    5. Key Formulas
    6. Glossary
    7. Chapter Exercises
    8. Excel Exercises (Excel 2013)
  24. Endnotes
  25. Appendix A: Tables
  26. Appendix B: Selected Exercise Solutions
  27. Index

Product information

  • Title: Understanding Business Statistics
  • Author(s): Ned Freed, Stacey Jones, Timothy Bergquist
  • Release date: December 2013
  • Publisher(s): Wiley
  • ISBN: 9781118145258