Sharpe/De Veaux/Velleman/Wright, Business Statistics, third Canadian Edition, demonstrates the how and why statistics matter for better business decisions.

Conceptual and applied, with emphasis on analyzing and interpreting Canadian data to make informed business decisions. The book draws students in using a conversational writing style and delivers content with a fresh, exciting approach that reflects the authors’ blend of teaching, consulting, and entrepreneurial experiences.

This title is also available with MyStatLab ™

This title is also available with MyStatLab – an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them better absorb course material and understand difficult concepts.

Students, if interested in purchasing this title with MyStatLab, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information.

Table of Contents

 

Part I Exploring and Collecting Data

Chapter 1 Introduction to Statistics

Chapter 2 Data

Chapter 3 Surveys and Sampling

Chapter 4 Displaying and Describing Categorical Data

Chapter 5 Displaying and Describing Quantitative Data

Chapter 6 Scatterplots, Association, and Correlation

Chapter 7 Introduction to Linear Regression

Part I Closing Case (online)

Part II Understanding Probability Distributions and Statistical Inference

Chapter 8 Randomness and Probability

Chapter 9 Random Variables and Probability Distributions

Chapter 10 Sampling Distributions

Chapter 11 Confidence Intervals for Proportions

Chapter 12 Testing Hypotheses about Proportions

Chapter 13 Confidence Intervals and Hypothesis Tests for Means

Chapter 14 Comparing Two Means

Chapter 15 Design of Experiments and Analysis of Variance (ANOVA)

Chapter 16 Inference for Counts: Chi-Square Tests

Chapter 17 Nonparametric Methods

Part II Closing Case (online)

Part III Exploring Relationships among Variables

Chapter 18 Inference for Regression

Chapter 19 Understanding Regression Residuals

Chapter 20 Multiple Regression

Chapter 21 Building Multiple Regression Models

Part III Closing Case (online)

Part IV Using Statistics for Decision Making

Chapter 22 Time Series Analysis

Chapter 23 Decision Making and Risk

Chapter 24 Quality Control

Chapter 25 (Online) Introduction to Data Mining

Appendix A: Answer Key

Appendix B: Statistical Tables, Formulas, and Excel/XLStat

Appendix C: Ethical Guidelines for Statistical Practice