Description

Book Synopsis
Renowned for its clear prose and no-nonsense emphasis on core concepts, Statistics covers fundamentals using real examples to illustrate the techniques.

Table of Contents

PART I. DESIGNS OF EXPERIMENTS
Chapter 1. Controlled Experiments
Chapter 2. Observational Studies
PART II. DESCRIPTIVE STATISTICS
Chapter 3. The Histogram
Chapter 4. The Average 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 Formula
PART V. CHANCE VARIABILITY
Chapter 16. The Law of Averages
Chapter 17. The Expected Value and Standard Error
Chapter 18. The Normal Approximation for Probablity
PART VI. SAMPLING
Chapter 19. Sample Surveys
Chapter 20. Chance Errors in Sampling
Chapter 21. The Accuracy of Percentages
Chapter 22. Measuring Employment and Significance Unemployment
Chapter 23. The Accuracy of Averages
PART VII. CHANCE MODELS
Chapter 24. 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 Chi-Square Test
Chapter 29. A Closer Look at Tests of Significance

Statistics

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A Paperback / softback by David Freedman, Robert Pisani, Roger Purves

1 in stock


    View other formats and editions of Statistics by David Freedman

    Publisher: WW Norton & Co
    Publication Date: 04/10/2007
    ISBN13: 9780393930436, 978-0393930436
    ISBN10: 0393930432

    Description

    Book Synopsis
    Renowned for its clear prose and no-nonsense emphasis on core concepts, Statistics covers fundamentals using real examples to illustrate the techniques.

    Table of Contents

    PART I. DESIGNS OF EXPERIMENTS
    Chapter 1. Controlled Experiments
    Chapter 2. Observational Studies
    PART II. DESCRIPTIVE STATISTICS
    Chapter 3. The Histogram
    Chapter 4. The Average 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 Formula
    PART V. CHANCE VARIABILITY
    Chapter 16. The Law of Averages
    Chapter 17. The Expected Value and Standard Error
    Chapter 18. The Normal Approximation for Probablity
    PART VI. SAMPLING
    Chapter 19. Sample Surveys
    Chapter 20. Chance Errors in Sampling
    Chapter 21. The Accuracy of Percentages
    Chapter 22. Measuring Employment and Significance Unemployment
    Chapter 23. The Accuracy of Averages
    PART VII. CHANCE MODELS
    Chapter 24. 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 Chi-Square Test
    Chapter 29. A Closer Look at Tests of Significance

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