Introduction to Probability and Statistics Metric Edition,
15th Edition

Introduction: What Is Statistics?
1. Describing Data with Graphs.
2. Describing Data with Numerical Measures.
3. Describing Bivariate Data.
4. Probability.
5. Discrete Probability 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. Simple Linear Regression and Correlation.
13. Multiple Linear Regression Analysis.
14. Analysis of Categorical Data.
15. Nonparametric Statistics.
Appendix I: Tables.
Answers to Selected Exercises.

• 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.

• Expanded coverage: This edition includes expanded coverage of the uniform distribution, the exponential distribution and normal probability plots for assessing normality, with appropriate exercises. New topics include best subsets regression procedures and binary logistic regression.

• Technology integration: Technology Today features at the end of each chapter offer updated Microsoft Excel 2016 and MINITAB 18 outputs and instructions, giving students hands-on experience performing statistical analysis with these widely used programs. New sections in most chapters give students instructions for using the TI 83/84 Plus calculators to perform the necessary statistical analyses.

• Revamped exercise sets: The exercises have been scaffolded to help the learner move from more basic concepts to independent application of skills. New exercises have been introduced and dated exercises deleted, and exercises have been more evenly distributed throughout the chapter sections.

• Reader friendly: The language of the exposition, examples and exercises have been simplified, while still retaining the statistical integrity of the text.

• Student's t table: The Student’s t table (Table 4 in Appendix I) has been expanded to include more degrees of freedom (df = 1-40, 45, 50, 55, 60, 65, 60, 80, 90, 100, 200, 300, 400, 500).

• Discrete Probability Distributions: Section 4.8 (Discrete Random Variables and their Probability Distributions) has been moved to become Section 5.1 in Chapter 5 (renamed “Discrete Probability Distributions”).

• The Student’s t table (Table 4 in Appendix I) has been expanded to include more degrees of freedom (df = 1-40, 45, 50, 55, 60, 65, 60, 80, 90, 100, 200, 300, 400, 500)

• Section 4.8 (Discrete Random Variables and their Probability Distributions) has been moved to become Section 5.1 in Chapter 5 (renamed “Discrete Probability Distributions”)

• Real data: This text continues to set the standard for using authentic data sets, helping students see the connections between their studies and their lives.

• New and updated 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 ”Are Your Clothes Really Clean?”, “School Accountability: Are We Doing Better?” and “Amazon Headquarters II.”

• Instructor resources: The book’s website includes the Complete Solutions Manual, Technology Guides, Test banks, PowerPoint lecture slides, Image Library, and Data Sets.

• Integrity and quality: 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.

• 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.

Cengage provides a range of supplements that are updated in coordination with the main title selection. For more information about these supplements, contact your Learning Consultant.

INTL IAC COGNERO INTRO PROBABI LITY/STATISTICS METRIC VERSION
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INTL SSO COGNERO INTRO PROBABI LITY/STATISTICS METRIC VERSION
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Online Complete Solutions Manual for Mendenhall/Beaver/Beaver's Introduction to Probability and Statistics, Metric Edition
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Cengage eBook: Introduction to Probability and Statistics Metric Edition 12 Months
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