Statistics / David Freedman, Robert Pisani, and Roger Purves.
Material type:
- 393090760
- QA 276 .F683 1980

Item type | Current library | Home library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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National University - Manila | LRC - Graduate Studies General Circulation | Gen. Ed - CEAS | GC QA 276 .F683 1980 c.1 (Browse shelf(Opens below)) | c.1 | Available | NULIB000012889 | ||
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National University - Manila | LRC - Graduate Studies General Circulation | Gen. Ed - CEAS | GC QA 276 .F683 1980 c.2 (Browse shelf(Opens below)) | c.2 | Available | NULIB000012890 |
Includes index.
Part I. Design of experiments -- Chapter 1. Controlled experiments -- Chapter 2. Observational studies -- Part II. Descriptive statistics -- Chapter 3. The Histogram -- Chapter 4. The Average and the standard deviation -- Chapter 5. The Normal approximation for data -- Chapter 6. Measurement error -- Chapter 7. Plotting points and lines -- Part III. Correlation and regression -- Chapter 8. Correlation -- Chapter 9. More about correlation -- Chapter 10. Regression -- Chapter 11. The R.M.S. error for regression -- Chapter 12 : The Regression line -- Part IV. Probability -- Chapter 13. What are the chances? -- Chapter 14. More about chance -- Chapter 15. The Binomial coefficients -- Part V. Chance variability -- Chapter 16. The Law of average -- Chapter 17. The Expected value and standard error -- Chapter 18 : The Normal approximation for probability histograms -- Part VI. Sampling -- Chapter 19. Sample surveys -- Chapter 20. Chance errors in sampling -- Chapter 21. The Accuracy of percentages -- Chapter 22 : Measuring employment and unemployment -- Chapter 23. The Accuracy of averages -- Part VII. Chance models -- Chapter 24. A model for measurement error -- Chapter 25. Chance models in genetics -- Part VIII. Tests of significance -- Chapter 26. Tests of significance -- Chapter 27. More tests for averages -- Chapter 28. The x┬▓-test -- Chapter 29. A closer look at tests of significance.
To the reader, we are going to tell you about some interesting problems which have been studied with the help of statistical methods, and show you how to use some of these methods yourself, explaining why methods work and what to watch out for when other people use them.
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