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

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      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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