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Statistics (Fourth Edition)

by David Freedman,Robaert Pisani,Roger Purves

Publisher: Viva Books Private Limited

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Price (USD): $ 21.92

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About the book

Statistics is written in clear, everyday language, without the equations that sometimes baffle non-mathematical readers. The goal is teaching students how to think about statistical issues. Techniques are introduced through examples, showing how statistics has helped solve major problems in political science, psychology, genetics, medicine, and other fields. Statistics in unusual in its emphasis on the models that underlie statistical inference. The authors make the models comprehensible and show why choosing the wrong model can lead students astray. Carefully constructed exercises in every chapter offer practice in computational skills. Other call for rough estimates and qualitative judgments, so students are forced to come to grips with the concepts instead of mechanically applied formulas. Most sections close with an exercise set; the answers are in the back of the book, often with complete solutions. Chapters also have review exercises, without answers, for homework and tests. Illustrations are in integral part of the exposition. Beginners learn how to read histograms and scatterplots and how to think about these graphics in the context of real problems. Working drawings are all done freehand; students are encouraged to make similar sketches and are not intimidated by too much precision. Tables of Contents:- Part I Design of Experiments Chapter 1. Controlled Experiments: The Salk Vaccine Field Trial The Portacaval Shunt Historical Controls Summary Chapter 2. Observational Studies Introduction The Clofibrate Trial More Examples Sex Bias in Graduate Admissions Confounding Review Exercises Summary and Overview Part II Descriptive Statistics Chapter 3. The Histogram Introduction Drawing a Histogram The Density Scale Variables Controlling for a Variable Cross-Tabulation Selective Breeding Review Exercises Summary Chapter 4. The Average and the Standard Deviation Introduction The Average The Average and the Histogram The Root-Mean-Square The Standard Deviation Computing the Standard Deviation Using a Statistical Calculator Review Exercises Summary Chapter 5 The Normal Approximation for Data The Normal Curve Finding Areas under the Normal Curve The Normal Approximation for Data Percentiles Percentiles and the Normal Curve Change of Scale Review Exercises Summary Chapter 6. Measurement Error Introduction Chance Error Outliers Bias Review Exercises Special Review Exercises Summary and Overview Chapter 7. Plotting Points and Lines Reading Points off a Graph Plotting Points Slope and Intercept Plotting Lines The Algebraic Equation for a Line Chapter 8. Correlation The Scatter Diagram The Correlation Coefficient The SD Line Computing the Correlation Coefficient Review Exercises Summary Part III Correlation and Regression Chapter 9. More about Correlation Features of the Correlation Coefficient Changing SDs Some Exceptional Cases Ecological Correlations Association is Not Causation Review Exercises Summary Chapter 10. Regression Introduction The Graph of Averages The Regression Method for Individuals The Regression Fallacy There Are Two Regression Lines Review Exercises Summary Chapter 11. The R.M.S. Error for Regression Introduction Computing the R.M.S. Error Plotting the Residuals Looking at Vertical Strips Using the Normal Curve Inside a Vertical Strip Review Exercises Summary Part IV Probability Chapter 12. The Regression Line Slope and Intercept The Method of Least Squares Does the Regression Make Sense? Review Exercises Summary and Overview Chapter 13. What Are the Chances? Introduction Conditional Probabilities The Multiplication Rule Independence The Collins Case Review Exercises Summary Chapter 14. More about Chance Listing the Ways The Addition Rule Two FAQs (Frequently Asked Questions) The Paradox of the Chevalier De Mere Are Real Dice Fair? Review Exercises Summary Chapter 15. The Binomial Formula Introduction The Binomial Formula Review Exercises Special Review Exercises Summary and Overview PART V. Change Variability Chapter 16. The Law of Averages What Does the Law of Averages Say? Chance Processes The Sum of Draws Making a Box Model Review Exercises Summary Chapter 17. The Expected Value and Standard Error The Expected Value The Standard Error Using the Normal Curve A Short-Cut Classifying and Counting Review Exercises Postscript Summary Chapter 18. The Normal Approximation for Probability Histograms Introduction Probability Histograms Probability Histograms and the Normal Curve The Normal Approximation The Scope of the Normal Approximation Conclusion Review Exercises Summary Part VI Sampling Chapter 19. Sample Surveys Introduction The Literary Digest Poll The Year the Polls Elected Dewey Using Chance in Survey Work How Well Do Probability Methods Work? A Closer Look at the Gallup Poll Telephone Surveys Chance Error and Bias Review Exercises Summary Chapter 20. Chance Errors in Sampling Introduction The Expected Value and Standard Error Using the Normal Curve The Correction Factor The Gallup Poll Review Exercises Summary Chapter 21. The Accuracy of Percentages Introduction Confidence Intervals Interpreting a Confidence Interval Caveat Emptor The Gallup Poll Review Exercises Summary Chapter 22. Measuring Employment and Unemployment Introduction The Design of the Current Population Survey Carrying out the Survey Weighting the Sample Standard Errors The Quality of the Data Bias Review Exercises Summary Chapter 23.The Accuracy of Averages Introduction The Sample Average Which SE? A Reminder Review Exercises Special Review Exercises Summary and Overview Part VII Chance Models Chapter 24. A Model for Measurement Error Estimating the Accuracy of an Average Chance Models The Gauss Model Conclusion Review Exercises Summary Chapter 25. Chance Models in Genetics How Mendel Discovered Genes Did Mendel’s Facts Fit His Model? The Law of Regression An Appreciation of the Model Review Exercises Summary and Overview Part VIII Tests of Significance Chapter 26 Tests of Significance Introduction The Null and the Alternative Test Statistics and Significance Levels Making a Test of Significance Zero-One Boxes The t-Test Review Exercises Summary Chapter 27 More Tests for Averages The Standard Error for a Difference Comparing Two Sample Averages Experiments More on Experiments When Does the z-Test Apply? Review Exercises Summary Chapter 28. The Chi-Square Test Introduction The Structure of the c2-Test How Fisher Used the c2-Test Testing Independence Review Exercises Summary Chapter 29. A Closer Look at Tests of Significance Was the Result Significant? Data Snooping Was the Result Important? The Role of the Model Does the Difference Prove the Point? Conclusion Review Exercises Special Review Exercises Summary and Overview Notes Answers to Exercises Tables Index

Details of the book

Book :
Statistics (Fourth Edition)
Book ID :
75289
Author :
David Freedman,Robaert Pisani,Roger Purves
ISBN 13 :
9788130915876
Year of Publication :
2017
Edition :
Reprint
Publisher :
Viva Books Private Limited
Binding :
Softcover
Pages :
713
Size :
16 x 24 cm
Weight :
0.904 kg

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