Freedman D., Pisani R., Purves R. Statistics

4th ed. – W.W. Norton & Company, 2007. – 715 p. – ISBN: 0393930432, 0393929728, 9780393929720Renowned for its clear prose and no-nonsense emphasis on core concepts, Statistics covers fundamentals using real examples to illustrate the techniques.
The Fourth Edition has been carefully revised and updated to reflect current data.
About the Author
David Freedman received his B.Sc. from McGill and his Ph.D. from Princeton. He has worked as a consultant for the City of San Francisco, the County of Los Angeles, the U.S. Department of Energy, and the U.S. Department of Justice. He has written several previous books and numerous technical papers. He is a member of the American Academy of Arts and Sciences and teaches at the University of California, Berkeley.
Robert Pisani received his B.A. and Ph.D. at the University of California, Berkeley. His research interests include probability models of market-price behavior and the statistical valuation of financial instruments.
Roger Purves received his B.A. at the University of British Columbia and his Ph.D. at the University of California, Berkeley, where he currently teaches. His research interests are in the mathematical foundations of probability theory.Design of Experiments.
Controlled Experiments.
Observational Studies.
Descriptive Statistics.
The Histogram.
The Average and the Standard Deviation.
The Normal Approximation for Data.
Measurement Error.
Plotting Points and Lines.
Correlation and Regression.
Correlation.
More about Correlation.
Regression.
The R.M.S. Error for Regression.
The Regression Line.
Probability.
What Are the Chances?
More about Chance.
The Binomial Formula.
Chance Variability.
The Law of Averages.
The Expected Value and Standard Error.
The Normal Approximation for Probability Histograms.
Sampling.
Sample Surveys.
Chance Errors in Sampling.
The Accuracy of Percentages.
Measuring Employment and Unemployment.
The Accuracy of Averages.
Chance Models.
A Model for Measurement Error.
Chance Models in Genetics.
Tests of Significance.
Tests of Significance.
More Tests for Averages.
The Chi-Square Test.
A Closer Look at Tests of Significance.
Notes.
Answers to Exercises.
Tables.