Part I: Principles 1. Nature and objectives of statistical analysis 2. Some general concepts 3. Some strategical aspects 4. Some types of statistical procedure Part II: Examples 5. Admissions to intensive care unit 6. Intervals between adjacent births 7. Statistical aspects of literary style 8. Temperature distribution in a chemical reactor 9. A 'before and after' study of blood pressure 10. Comparison of industrial processes in the presence of trend 11. Cost of construction of nuclear power plants 12. Effect of process and purity index on fault occurrence 13. Growth of bones from chick embryos 14. Factorial experiment on cycles to failure of worsted yarn 15. Factorial experiment on diets for chickens 16. Binary preference data for detergent use 17. Fertilizer experiment on growth of cauliflowers 18. Subjective preference data on soap pads 19. Atomic weight of iodine 20. Multifactor experiment on a nutritive medium 21. Strength of cotton yarn 22. Biochemical experiment on the blood of mice 23. Voltage regulator performance 24. Intervals between the failure of air-conditioning equipment in aircraft 25. Survival times of leukemia patients 26. A retrospective study with binary data 27. Housing and associated factors 28. Educational plans of Wisconsin schoolboys

"The analyses of the examples are sufficiently detailed to provide good illustrations of both general principles and important specific techniques of analysis, yet are presented insuch a way that tge informed reader will want to try his own hand at extending the analysis of the data. This book should be read by anyone interested in statistical methods."-J.F. Lawless, International Statistical Institute"I recommend anyone who teaches applied statistics at an advanced level to purchase this book."-D. Williams, Biometrics