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Introduction To Probability And Statistics 14th Edition Pdf Free Download

Introduction to Probability and Statistics, 14th Edition

Introduction to Probability and Statistics

Published: © 2013

Print ISBN: 9781133103752

Pages: 744

Available

Used by hundreds of thousands of students since its first edition, INTRODUCTION TO PROBABILITY AND STATISTICS, Fourteenth Edition, continues to blend the best of its proven, error-free coverage with new innovations. Written for the higher end of the traditional introductory statistics market, the book takes advantage of modern technology--including computational software and interactive visual tools--to facilitate statistical reasoning as well… More

For Instructors

For Students

  • Table of Contents

  • New to this edition

  • Features

  • About the author(s)

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.

  • The book's website, Statistics CourseMate, includes a Personal Trainer feature that offers further explanation of some of the more difficult concepts through detailed definitions, step-by-step hints on problem solving, self-correcting exercises, and data sets for text exercises. Applets demonstrate key concepts so they are easily visualized, accompanied by exercises that provide practice in the required statistical methods and immediate feedback with answers. An icon in the text margin identifies concepts and applications for which an applet is available on the website.
  • Technology Today features at the end of each chapter offer Microsoft® Excel 2010 and MINITAB outputs and instructions, giving students hands-on experience performing statistical analysis with these widely used programs.
  • Exercises: The book includes more than 1,300 exercises, many of which are new or updated for this edition. New topics for the book's chapter-ending case study exercises include "How to Save Money for Groceries," "School Accountability Study: How Is Your School Doing?" and "Are You Going to Curve the Grades?"
  • Market leader: The integrity of the statistics and the quality of the examples and exercises keep this text in the bestseller category. Comprehensive in coverage, it delivers a more rigorous offering with traditional coverage of probability. Instructors and students alike appreciate its error-free material and exercises, and its clear exposition.
  • Real data: The first to incorporate case studies and real data, this text continues to set the standard. Many examples and exercises use authentic data sets, helping students see the connections between their studies and their lives.
  • Quick reference: At the end of each chapter, Key Concepts and Formulas sections provide quick reference for students, helping them ensure they are well prepared for assignments and tests.

William Mendenhall

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

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

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.

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.

New to this edition

  • The book's website, Statistics CourseMate, includes a Personal Trainer feature that offers further explanation of some of the more difficult concepts through detailed definitions, step-by-step hints on problem solving, self-correcting exercises, and data sets for text exercises. Applets demonstrate key concepts so they are easily visualized, accompanied by exercises that provide practice in the required statistical methods and immediate feedback with answers. An icon in the text margin identifies concepts and applications for which an applet is available on the website.
  • Technology Today features at the end of each chapter offer Microsoft® Excel 2010 and MINITAB outputs and instructions, giving students hands-on experience performing statistical analysis with these widely used programs.

Features

  • Exercises: The book includes more than 1,300 exercises, many of which are new or updated for this edition. New topics for the book's chapter-ending case study exercises include "How to Save Money for Groceries," "School Accountability Study: How Is Your School Doing?" and "Are You Going to Curve the Grades?"
  • Market leader: The integrity of the statistics and the quality of the examples and exercises keep this text in the bestseller category. Comprehensive in coverage, it delivers a more rigorous offering with traditional coverage of probability. Instructors and students alike appreciate its error-free material and exercises, and its clear exposition.
  • Real data: The first to incorporate case studies and real data, this text continues to set the standard. Many examples and exercises use authentic data sets, helping students see the connections between their studies and their lives.
  • Quick reference: At the end of each chapter, Key Concepts and Formulas sections provide quick reference for students, helping them ensure they are well prepared for assignments and tests.

About the author(s)

William Mendenhall

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

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

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.

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