Introduction to Probability and Statistics, International Edition
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Introduction to Probability and Statistics, International Edition

Introduction to Probability and Statistics, International Edition


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About the Book

Used by hundreds of thousands of students, INTRODUCTION TO PROBABILITY AND STATISTICS, 14E, International Edition blends proven coverage with new innovations to ensure you gain a solid understanding of statistical concepts--and see their relevance to your everyday life. The new edition retains the text's straightforward presentation and traditional outline for descriptive and inferential statistics while incorporating modern technology--including computational software and interactive visual tools--to help you master statistical reasoning and skillfully interpret statistical results. Drawing from decades of classroom teaching experience, the authors clearly illustrate how to apply statistical procedures as they explain how to describe real sets of data, what statistical tests mean in terms of practical application, how to evaluate the validity of the assumptions behind statistical tests, and what to do when statistical assumptions have been violated. Statistics can be an intimidating course, but with this text you will be well prepared. With its thorough explanations, insightful examples, practical exercises, and innovative technology features, this text equips you with a firm foundation in statistical concepts, as well as the tools to apply them to the world around you.

Table of Contents:
Introduction: What Is Statistics? 1. Describing Data with Graphs. 2. Describing Data with Numerical Measures. 3. Describing Bivariate Data. 4. Probability and Probability Distributions. 5. Several Useful Discrete Distributions. 6. The Normal Probability Distribution. 7. Sampling Distributions. 8. Large-Sample Estimation. 9. Large-Sample Tests of Hypotheses. 10. Inference from Small Samples. 11. The Analysis of Variance. 12. Linear Regression and Correlation. 13. Multiple Regression Analysis. 14. Analysis of Categorical Data. 15. Nonparametric Statistics. Appendix I: Tables. Answers to Selected Exercises.

About the Author :
The late Dr. Mendenhall served in the Navy in the Korean War and obtained a Ph.D. in Statistics at North Carolina State University. After receiving his Ph.D , he was a professor in the Mathematics Department at Bucknell University in Pennsylvania before moving to Gainesville in 1963 where he was the first chairman of the Department of Statistics at the University of Florida. Dr. Mendenhall published articles in some of the top statistics journals, such as Biometika and Technometrics; however, he is more widely known for his prolific textbook career. He authored or co-authored approximately 13 Statistics textbooks and several books about his childhood. Robert J. Beaver graduated from Bloomsburg State Teachers College (now Bloomsburg University) in 1959. In 1964, he completed an M.S. in Mathematics from Bucknell University and enrolled in the graduate program in Statistics chaired by William Mendenhall at the University of Florida. After completing a Ph.D. in Statistics with a minor in Mathematics, Beaver took the position of Assistant Professor at the newly formed Department of Statistics headed by F. N. David at the University of California, Riverside. Dr. Beaver spent his entire career at Riverside, moving through the ranks to Full Professor. His research areas included paired comparisons and skewed distributions including the skewed normal, skewed Cauchy, and skewed logistic. During his time at Riverside, Beaver served as chairman of the Department of Statistics as well as chairman of the faculty of the College of Natural and Agricultural Sciences. After 35 years at Riverside, he retired in 2005 as Professor Emeritus and Statistician. Beaver has been an author for Cengage since 1966, authoring and co-authoring various Study Guides and textbooks with William Mendenhall and other authors. He and his wife Barbara have two children and four grandchildren. Barbara M. Beaver received a B.A. in Mathematics (Magna Cum Laude) from Bucknell University in 1968 and a Master of Statistics degree from the University of Florida in 1970. She was employed as an Associate in Statistics at the Department of Statistics, University of California, Riverside from 1971-1977 on a part time basis. In 1992, she began a full-time appointment as a Lecturer in the Department of Statistics, teaching a variety of introductory statistics classes at the University of California, Riverside. She retired from teaching in 2008. Barbara has been an author and technical editor for Cengage since 1968, developing Solutions Manuals and Study Guides for a number of introductory statistics texts, and participating as a co-author with William Mendenhall and Robert J. Beaver on several statistics textbooks. Until her retirement, Barbara also worked as a professional musician, playing viola in the Riverside County Philharmonic, the Redlands Symphony, and various freelance groups in the Inland Empire area. She and her husband Bob have two children and four grandchildren.

Review :
Introduction: What Is Statistics? 1. Describing Data with Graphs. 2. Describing Data with Numerical Measures. 3. Describing Bivariate Data. 4. Probability and Probability Distributions. 5. Several Useful Discrete Distributions. 6. The Normal Probability Distribution. 7. Sampling Distributions. 8. Large-Sample Estimation. 9. Large-Sample Tests of Hypotheses. 10. Inference from Small Samples. 11. The Analysis of Variance. 12. Linear Regression and Correlation. 13. Multiple Regression Analysis. 14. Analysis of Categorical Data. 15. Nonparametric Statistics. Appendix I: Tables. Answers to Selected Exercises.


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Product Details
  • ISBN-13: 9781133111504
  • Publisher: Cengage Learning, Inc
  • Publisher Imprint: Duxbury Press
  • Height: 27 mm
  • No of Pages: 744
  • Weight: 1361 gr
  • ISBN-10: 1133111505
  • Publisher Date: 24 Jan 2012
  • Binding: Paperback
  • Language: English
  • Spine Width: 248 mm
  • Width: 200 mm


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