Internet Companion for Statistics (with InfoTrac 2-Semester Printed Access Card) / Edition 2

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0495110825 Has stickers on cover. Otherwise in new condition. Includes Infotrac on-line resource code. We are a tested and proven company with over 900,000 satisfied customers ... since 1997. Choose expedited shipping (if available) for much faster delivery. Delivery confirmation on all US orders. Read more Show Less

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0495110825 BRAND NEW W/FAST SHIPPING! This item is: Internet Companion for Statistics (with InfoTrac? 2-Semester Printed Access Card), 2nd Ed., by Michael D. Larsen; FORMAT: Book ... With Online Product; ISBN: 9780495110828. Choose Expedited for fastest shipping! Our 98%+ rating proves our commitment! We cannot ship to PO Boxes/APO Addresses or outside the continental U.S. To avoid ordering the wrong item, please check your item's ISBN number! Read more Show Less

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Overview

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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Product Details

  • ISBN-13: 9780495110828
  • Publisher: Cengage Learning
  • Publication date: 3/24/2006
  • Edition description: New Edition
  • Edition number: 2
  • Pages: 192
  • Product dimensions: 7.40 (w) x 9.10 (h) x 0.50 (d)

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.

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Table of Contents

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.

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