About the Authors Dedications Acknowledgements Foreword: What is this book? How should you use it?Part 1: Demystifying Quantitative Analysis Chapter 1: Demystifying Quantitative Data Analysis Chapter 2: Gathering and Preparing Data Chapter 3: The Software Environment Chapter 4: Describing Your Data Chapter 5: Introduction to Probability Chapter 6: Random Variables and Probability Distributions Chapter 7: Sampling and Intervals Part 2: Introduction to Statistical Inference Concepts and Methods Chapter 8: Statistical Hypothesis Testing Chapter 9: First Steps In Testing Relationships - Goodness of Fit and Independence Tests Chapter 10: Correlation and Regression Chapter 11: Regression Special Topics Chapter 12: Comparing Two Populations Chapter 13: Population Variances Part 3: Specialist Topics in Quantitative Analysis Chapter 14: ANOVA Chapter 15: Time Series Models and Forecasting Chapter 16: Using Statistics for Quality Control Bibliography Appendix

An accessible guide showing how and why techniques in quantitative analysis are useful in business contexts. It comes with access to data sets and answers to student exercises, as well as a downloadable workbook containing a series of exercises to help students learn.