ESCP Europe

"This work uses a rich array of applications from a variety of industries to demonstrate how to use statistics effectively in a business environment. It focuses on developing statistical thinking so the reader can better assess the credibility and value of inferences made from data".

1. Statistics, data, and statistical thinking --- 2. Methods for describing sets of data --- 3. Probability --- 4. Random variables and probability distributions --- 5. Sampling distributions --- 6. Inferences based on a single sample: estimation with confidence intervals --- 7. Inferences based on a single sample: tests of hypothesis --- 8. Inferences based on two samples: confidence intervals and tests of hypothesis --- 9. Design of experiments and analysis of variance --- 10. Categorical data analysis --- 11. Simple linear regression --- 12. Multiple regression and model building --- 13. Methods for quality improvement --- 14. Time series --- 15. Nonparametric statistics..