There is no more powerful information resource than the Internet. Do you know how to get the most out of it? INTERNET COMPANION FOR STATISTICS shows you how to use the Internet to help you ace your introduction to statistics class. And because it's got lots of helpful exercises and study tools built right in, this textbook will help make sure that you're understanding all you need to know as you go along.
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Meet the Author
Michael Larsen (Ph.D. Harvard) is an Assistant Professor in the Statistics department at Iowa State University. He has also taught statistics at Stanford, Harvard, and the University of Chicago, and has worked as a research associate for the U.S. Census Bureau, National Opinion Research Center, the U.S. National Center for Health Statistics, and the Gallup Organization.
Preface. Purpose of Book. How to Use the Book. Outline of Book and Online Material. 1. MEASUREMENTS ON ONE QUANTITATIVE VARIABLE. Center. Spread. Transformations. Examples. 2. MEASUREMENTS ON TWO QUANTITATIVE VARIABLES. Scatterplots. Correlation. Regression. Transformations. 3. CATEGORICAL DATA. One Variable on Two or More Groups. Two or More Variables. Simpson''s Paradox. 4. RESEARCH DESIGNS. Experiments. Surveys, Including Opinion Polls. Observational Studies. Examples. 5. PROBABILITY. Sets and Long Run Relative Frequency. Probability Rules. Conditional Probability and Bayes'' Theorem. Birthday Problem. Monte Hall Problem. Card Problems. 6. RANDOM VARIABLES AND PROBABILITY DISTRIBUTIONS. Binomial, Geometric, Poisson, Normal and Other Random Variables. 7. SAMPLING DISTRIBUTIONS. General Sampling Distributions. Law of Large Numbers. Central Limit Theorem. 8. CONFIDENCE INTERVALS. Inference for a Single Mean. Inference Concerning Two Means. Inference for a Single Proportion. Inference Concerning Two Proportions. 9. HYPOTHESIS TESTING. Inference for a Single Mean. Inference Concerning Two Means. Inference for a Single Proportion. Inference Concerning Two Proportions. Inference Concerning Tables of Counts. 10. CORRELATION AND REGRESSION. Inference for correlation and regression coefficients. 11. ANALYSIS OF VARIANCE. One-way and two-way ANOVA. 12. NONPARAMETRIC STATISTICS. Sign tests and rank-based tests. 13. CASE STUDIES. 14. INDEXES, WEBSITES, AND COURSE OUTLINES.