Business Statistics for Contemporary Decision Making

Show students why business statistics is an increasingly important business skill through a student-friendly pedagogy. In this fourth Canadian edition of Business Statistics For Contemporary Decision Making authors Ken Black, Tiffany Bayley, and Ignacio Castillo uses current real-world data to equip students with the business analytics techniques and quantitative decision-making skills required to make smart decisions in today's workplace.

About the Authors Preface iv 1 Introduction to Statistics and Business Analytics 1 2 Visualizing Data with Charts and Graphs 21 3 Descriptive Statistics 56 4 Probability 95 5 Discrete Distributions 138 6 Continuous Distributions 178 7 Sampling and Sampling Distributions 213 8 Statistical Inference: Estimation for Single Populations 245 9 Statistical Inference: Hypothesis Testing for Single Populations 280 10 Statistical Inferences About Two Populations 329 11 Analysis of Variance and Design of Experiments 383 12 Correlation and Simple Regression Analysis 438 13 Multiple Regression Analysis 491 14 Building Multiple Regression Models 526 15 Time-Series Forecasting and Index Numbers 579 16 Analysis of Categorical Data 635 17 Nonparametric Statistics 657 18 Statistical Quality Control 704 19 Decision Analysis 744 Appendix a Tables 779 Appendix B Making Inferences About Population Parameters: A Brief Summary 819 Glossary 821 Index 828