The Practice of Statistics in the Life Sciences 4th Edition, (Ebook PDF)

PART I: EXPLORING AND COLLECTING DATA

• 1. Data and Decisions (H&M)
• 2. Visualizing and Describing Categorical Data (Dalia Research)
• 3. Describing, Displaying, and Visualizing Quantitative Data (AIG)
• 4. Correlation and Linear Regression (Zillow.com)

PART II: MODELING AND PROBABILITY

• 5. Randomness and Probability (Credit Reports, the Fair Isaacs Corporation, and Equifax)
• 6. Random Variables and Probability Models (Metropolitan Life Insurance Company)
• 7. The Normal and Other Continuous Distributions (The NYSE)

PART III: GATHERING DATA

• 8. Data Sources: Observational Studies and Surveys (Roper Polls)
• 9. Data Sources: Experiments (Capital One)

PART IV: INFERENCE FOR DECISION MAKING

• 10. Sampling Distributions and Confidence Intervals for Proportions (Marketing Credit Cards: The MBNA Story)
• 11. Confidence Intervals for Means (Guinness & Co.)
• 12. Testing Hypotheses (Casting Ingots)
• 13. More About Tests and Intervals (Traveler’s Insurance)
• 14. Comparing Two Means (Visa Global Organization)
• 15. Inference for Counts: Chi-Square Tests (SAC Capital)

PART V: MODELS FOR DECISION MAKING

• 16. Inference for Regression (Nambé Mills)
• 17. Understanding Residuals (Kellogg’s)
• 18. Multiple Regression (Zillow.com)
• 19. Building Multiple Regression Models (Bolliger and Mabillard)
• 20. Time Series Analysis (Whole Foods Market^®)

PART VI: ANALYTICS

• 21. Introduction to Big Data and Data Mining (Paralyzed Veterans of America)

PART VII: ONLINE TOPICS

• 22. Quality Control (Sony)
• 23. Nonparametric Methods (i4cp)
• 24. Decision Making and Risk (Data Description, Inc.)
• 25. Analysis of Experiments and Observational Studies

Appendix A. Answers

Appendix B. Tables and Selected Formulas

Appendix C. Credits