Statistics 4th Edition Author: David Freedman, Robert Pisani, Roger Purves Index Code :  Science.Statistics.BasicStatistics Example Code Chapters / Sections Examples 1. Controlled Experiments 1. The Salk Vaccine Field Trial 2. The Portacaval Shunt 3. Historical Controls 4. Summary 2. Observational Studies Equations 1. Introduction 2. The Clofibrate Trial 3. More Examples 4. Sex Bias in Graduate Admissions 5. Confounding 6. Review Exercises 7. Summary and Overview 3. The HIstogram 1. Introduction 2. Drawing a Histogram 3. The Density Scale 4. Variables 5. Controlling for a Variable 6. Cross-Tabulation 7. Selective Breeding 8. Review Exercises 9. Summary 4. The Average and the Standard Deviation 1. Introduction 2. The Average 3. The Average and the Histogram 4. The Root-Mean-Square 5. The Standard Deviation 6. Computing the Standard Deviation 7. Using a Statistical Calculator 8. Review Exercises 9. Summary 5. The Normal Approximation for Data 1. The Normal Curve 2. Finding Areas under the Normal Curve 3. The Normal Approximation for Data 4. Percentiles 5. Percentiles and the Normal Curve 6. Change of Scale 7. Review Exercises 8. Summary 6. Measurement Error 1. Introduction 2. Chance Error 3. Outliers 4. Bias 5. Review Exercises 6. Special Review Exercises 7. Summary and Overview 7. Plotting Points and Lines 1. Reading Points off a Graph 2. Plotting Points 3. Slope and Intercept 4. Plotting Lines 5. The Algebraic Equation for a Line 8. Correlation 1. The Scatter Diagram 2. The Correlation Coefficient 3. The SD Line 4. Computing the Correlation Coefficient 5. Review Exercises 6. Summary 9. More about Correlation 1. Features of the Correlation Coefficient 2. Changing SDs 3. Some Exceptional Cases 4. Ecological Correlation 5. Association is Not Causation 6. Review Exercises 7. Summary 10. Regression 1. Introduction 2. The Graph of Averages 3. The Regression Method for Individuals 4. The Regression Fallacy 5. There Are Two Regression Lines 6. Review Exercises 7. Summary 11. The R.M.S. Error for Regression 1. Introduction 2. Computing the R.M.S. Error 3. Plotting the Residuals 4. Looking at Vertical Strips 5. Using the Normal Curve Inside a Vertical Strip 6. Review Exercises 7. Summary 12. The Regression Line 1. Slope and Intercept 2. The Method of Least Squares 3. Does the Regression Make Sense? 4. Review Exercises 5. Summary and Overview 13. What Are the Chances? 1. Introduction 2. Conditional Probabilities 3. The Multiplication Rule 4. Independence 5. The Collins Case 6. Review Exercises 7. Summary 14. More about Chance 1. Listing the Ways 2. The Addition Rule 3. Two FAQs (Frequently Asked Questions) 4. The Paradox of the Chevalier De Mere 5. Are Real Dive Fair? 6. Review Exercises 7. Summary 15. The Binomial Formula 1. Introduction 2. The Binormial Formula 3. Review Exercises 4. Special Review Exercises 5. Summary and Overview 16. The Law of Averages 1. What Does the Law of Averages Say? 2. Chance processes 3. The Sum of Draws 4. Making a Box Model 5. Review Exercises 6. Summary 17. The Expected Value and Standard Error 1. The Expected Value 2. The Standard Error 3. Using the Normal Curve 4. A Short-Cut 5. Classifying and Counting 6. Review Exercises 7. Postscript 8. Summary 18. The Normal Approximation for Probability Histograms 1. Introduction 2. Probability Histograms 3. Probability Histograms and the Normal Curve 4. The Normal Approximation 5. The Scope of the Normal Approximation 6. Conclusion 7. Review Exercises 8. Summary 19. Sample Surveys 1. Introduction 2. The Literary Digest Poll 3. The Year the Polls Elected Dewey 4. Using Chance in Survey Work 5. How Well Do Probability Methods Work? 6. A Closer Look at the Gallup Poll 7. Telephone Surveys 8. Chance Error and Bias 9. Review Exercises 10. Summary 20. Chance Errors in Sampling 1. Introduction 2. The Expected Value and Standard Error 3. Using the Normal Curve 4. The Correction Factor 5. The Gallup Poll 6. Review Exercises 7. Summary 21. The Accuracy of Percentages 1. Introduction 2. Confidence Intervals 3. Interpreting a Confidence Interval 4. Caveat Emptor 5. The Gallup Poll 6. Review Exercises 7. Summary 22. Measuring Employment and Unemployment 1. Introduction 2. The Design of the Current Population Survey 3. Carrying out the Survey 4. Weighting the Sample 5. Standard Errors 6. The Quality of the Data 7. Bias 8. Review Exercises 9. Summary 23. The Accuracy of Averages 1. Introduction 2. The Sample Average 3. Which SE? 4. A Reminder 5. Review Exercises 6. Special Review Exercises 7. Summary and Overview 24. A Model for Measurement Error 1. Estimating the Accuracy of an Average 2. Chance Models 3. The Gauss Model 4. Conclusion 5. Review Exercises 6. Summary 25. Chance Models in Genetics 1. How Mendel Discovered Genes 2. Did Mendel's Facts Fit HIs Model? 3. The Law of Regression 4. An Appreciation of the Model 5. Review Exercises 6. Summary and Overview 26. Tests of Significance 1. Introduction 2. The Null and the Alternative 3. Test Statistics and Significance Levels 4. Making a Test of Significance 5. Zero-One Boxes 6. The t-Test 7. Review Exercises 8. Summary 27. More Tests for Averages 1. The Standard Error for a Difference 2. Comparing Two Sample Averages 3. Experiments 4. More on Experiments 5. When Does the z-Test Apply? 6. Review Exercises 7. Summary 28. The Chi-Square Test 1. Introduction 2. The Stucture of the Chi-Square-Test 3. How Fisher Used the Chi-Square-Test 4. Test Independence 5. Review Exercises 6. Summary 29. A Closer Look at Tests of Significance 1. Was the Result Significant? 2. Data Snooping 3. Was the Result Important? 4. The Role of the Model 5. Does the Difference Prove the Point? 6. Conclusion 7. Review Exercises 8. Special Review Exercises 9. Summary and Overview