ESCP Europe

"Lind/Marchal/Wathen is a perennial market best seller due to its comprehensive coverage of statistical concepts and methods delivered in a student friendly, step-by-step format. The text presents concepts clearly and succinctly with a conversational writing style and illustrates concepts through the liberal use of business-focused examples that are relevant to the current world of a college student. Known as a student's text, Lind's supporting pedagogy includes self-reviews, cumulative exercises, and coverage of software applications including Excel, Minitab, and MegaStat for Excel. And now, McGraw-Hill's adaptive learning component, LearnSmart, provides assignable modules that help students master chapter core concepts and come to class more prepared. In addition, resources within Connect help students solve problems and apply what they've learned. Lind's real-world examples, comprehensive coverage, and superior pedagogy combine with a complete digital solution to help students achieve higher outcomes in the course. Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, and how they need it, so that your class time is more engaging and effective." - from publisher.

1. What is statistics? --- 2. Describing data: frequency tables, frequency distributions, and graphic presentation --- 3. Describing data: numerical measures --- 4. Describing data: displaying and exploring data --- 5. A survey of probability concepts --- 6. Discrete probability distributions --- 7. Continuous probability distributions --- 8. Sampling methods and the central limit theorem --- 9. Estimation and confidence intervals --- 10. One-sample tests of hypothesis --- 11. Two-sample tests of hypothesis --- 12. Analysis of variance --- 13. Correlation and linear regression --- 14. Multiple regression analysis --- 15. Nonparametric methods: nominal level hypothesis tests --- 16. Nonparametric methods: analysis of ordinal data --- 17. Index numbers --- 18. Time series and forecasting --- 19. Statistical process control and quality management --- 20. An introduction to decision theory..