Introduction to the Practice of Statistics
Tenth Edition ©2021 David S. Moore; George P. McCabe; Bruce Craig Formats: Achieve, E-book, Print
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Authors
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David S. Moore
David S. Moore is Shanti S. Gupta Distinguished Professor of Statistics, Emeritus, at Purdue University and was 1998 president of the American Statistical Association. He received his AB from Princeton and his PhD from Cornell, both in mathematics. He has written many research papers in statistical theory and served on the editorial boards of several major journals. Professor Moore is an elected fellow of the American Statistical Association and of the Institute of Mathematical Statistics and an elected member of the International Statistical Institute. He has served as program director for statistics and probability at the National Science Foundation.
In recent years, Professor Moore has devoted his attention to the teaching of statistics. He was the content developer for the Annenberg/Corporation for Public Broadcasting college-level telecourse Against All Odds: Inside Statistics and for the series of video modules Statistics: Decisions through Data, intended to aid the teaching of statistics in schools. He is the author of influential articles on statistics education and of several leading texts. Professor Moore has served as president of the International Association for Statistical Education and has received the Mathematical Association of America’s national award for distinguished college or university teaching of mathematics.
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George P. McCabe
George P. McCabe is the Associate Dean for Academic Affairs in the College of Science and a Professor of Statistics at Purdue University. In 1966, he received a B.S. degree in mathematics from Providence College, and in 1970 a Ph.D. in mathematical statistics from Columbia University. His entire professional career has been spent at Purdue with sabbaticals at Princeton, the Commonwealth Scientific and Industrial Research Organization in Melbourne (Australia); the University of Berne (Switzerland); the National Institute of Standards and Technology (Boulder, Colorado); and the National University of Ireland in Galway. Professor McCabe is an elected fellow of the American Association for the Advancement of Science and of the American Statistical Association; he was 1998 Chair of its section on Statistical Consulting. From 2008 to 2010, he served on the Institute of Medicine Committee on Nutrition Standards for the National School Lunch and Breakfast Programs. He has served on the editorial boards of several statistics journals, has consulted with many major corporations, and has testified as an expert witness on the use of statistics.
Professor McCabe’s research has focused on applications of statistics. Much of his recent work has been on problems of nutrition, including nutrient requirements, calcium metabolism, and bone health. He is author or coauthor of more than 160 publications in many different journals.
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Bruce A. Craig
Bruce A. Craig is Professor of Statistics and Director of the Statistical Consulting Service at Purdue University. He received his B.S. in mathematics and economics from Washington University in St. Louis and his PhD in statistics from the University of Wisconsin–Madison. He is an active member of the American Statistical Association and was chair of its section on Statistical Consulting in 2009. He also is an active member of the Eastern North American Region of the International Biometrics Society and aws elected by the voting membership to the Regional Committee from 2003 to 2006. Professor Craig has served on the editorial board of several statistical journals and has been a member of several data and safety monitoring boards, including Purdues IRB. Professor Craigs research interests focus on the development of novel statistical methodology to address research questions in the life sciences. Areas of current interest are protein structure determination, diagnostic testing, and animal abundance estimation. In 2005, he was named Purdue University Faculty Scholar.
Table of Contents
Data Set files needed to complete exercises and examples in the book can be downloaded from the open-access student companion website. Data Sets are available in Excel, CSV, Minitab, R, JMP, TI, SPSS, PC-Text, and Mac-Text formats.
Part I Looking at Data
CHAPTER 1 Looking at Data—Distributions 1
CHAPTER 2 Looking at Data—Relationships
CHAPTER 3 Producing Data
Part II Probability and Inference
CHAPTER 4 Probability: The Study of Randomness
CHAPTER 5 Sampling Distributions
CHAPTER 6 Introduction to Inference
CHAPTER 7 Inference for Means
CHAPTER 8 Inference for Proportions
Part III Topics in Inference
CHAPTER 9 Inference for Categorical Data
CHAPTER 10 Inference for Regression
CHAPTER 11 Multiple Regression
CHAPTER 12 One-Way Analysis of Variance
CHAPTER 13 Two-Way Analysis of Variance
Companion Chapters
CHAPTER 14 Logistic Regression
CHAPTER 15 Nonparametric Tests
CHAPTER 16 Bootstrap Methods and Permutation Tests
CHAPTER 17 Statistics for Quality: Control and Capability
Product Updates
Achieve Online Homework
Macmillan’s new online learning tool Achieve features intuitive design, assessment, insights, and reporting built with the direct input of students, educators, and our learning science team. Achieve for Introduction to the Practice of Statistics features
- Learning Objectives tagged to all assessments within Achieve.
- In-Class Activity Guides to facilitate active learning during class time.
over 3,000 homework questions, each with hints, answer-specific feedback, and a fully worked solution. - LearningCurve adaptive quizzing.
- an interactive e-book, powered by VitalSource.
- multimedia student resources, such as interactive applets and videos.
- data sets for common statistical software, video technology manuals, and access to Macmillan’s proprietary statistical software, CrunchIt!
Content Updates to the Tenth Edition
- Approximately 30% of the examples and exercises have been revised or replaced for currency and up-to-date data, covering applications from cryptocurrencies to Instagram usage.
- To gain students’ attention, each chapter begins with interesting real-world questions that will be studied in the chapter, one of which is tied to the chapter-opening photo.
- Learning objectives have been revised and fully integrated into the beginning and end of each section and provide relevant examples and exercises for review and practice.
- Check-in questions, formerly known as Use Your Knowledge Questions, encourage students to actively assess their understanding as they work through the material. Check-in questions now have their own separate numbering sequence.
- Putting It Together exercises at the end of each chapter emphasize the key skill of “statistical thinking” – how to plan how to solve a problem by assessing the information, making assumptions, selecting the appropriate method to use, analyzing or comparing results, and drawing conclusions, etc.
- Through enhanced visual pedagogy, key figures now include explanatory annotations to help students interpret and master new graphical representations. All figures have been revised for consistency and accessibility, and the design has been streamlined.
- Additional software outputs for certain examples as well as Video Technology Manuals for key topics are available online in Achieve (indicated by icons in the book).
Authors
-
David S. Moore
David S. Moore is Shanti S. Gupta Distinguished Professor of Statistics, Emeritus, at Purdue University and was 1998 president of the American Statistical Association. He received his AB from Princeton and his PhD from Cornell, both in mathematics. He has written many research papers in statistical theory and served on the editorial boards of several major journals. Professor Moore is an elected fellow of the American Statistical Association and of the Institute of Mathematical Statistics and an elected member of the International Statistical Institute. He has served as program director for statistics and probability at the National Science Foundation.
In recent years, Professor Moore has devoted his attention to the teaching of statistics. He was the content developer for the Annenberg/Corporation for Public Broadcasting college-level telecourse Against All Odds: Inside Statistics and for the series of video modules Statistics: Decisions through Data, intended to aid the teaching of statistics in schools. He is the author of influential articles on statistics education and of several leading texts. Professor Moore has served as president of the International Association for Statistical Education and has received the Mathematical Association of America’s national award for distinguished college or university teaching of mathematics.
-
George P. McCabe
George P. McCabe is the Associate Dean for Academic Affairs in the College of Science and a Professor of Statistics at Purdue University. In 1966, he received a B.S. degree in mathematics from Providence College, and in 1970 a Ph.D. in mathematical statistics from Columbia University. His entire professional career has been spent at Purdue with sabbaticals at Princeton, the Commonwealth Scientific and Industrial Research Organization in Melbourne (Australia); the University of Berne (Switzerland); the National Institute of Standards and Technology (Boulder, Colorado); and the National University of Ireland in Galway. Professor McCabe is an elected fellow of the American Association for the Advancement of Science and of the American Statistical Association; he was 1998 Chair of its section on Statistical Consulting. From 2008 to 2010, he served on the Institute of Medicine Committee on Nutrition Standards for the National School Lunch and Breakfast Programs. He has served on the editorial boards of several statistics journals, has consulted with many major corporations, and has testified as an expert witness on the use of statistics.
Professor McCabe’s research has focused on applications of statistics. Much of his recent work has been on problems of nutrition, including nutrient requirements, calcium metabolism, and bone health. He is author or coauthor of more than 160 publications in many different journals.
-
Bruce A. Craig
Bruce A. Craig is Professor of Statistics and Director of the Statistical Consulting Service at Purdue University. He received his B.S. in mathematics and economics from Washington University in St. Louis and his PhD in statistics from the University of Wisconsin–Madison. He is an active member of the American Statistical Association and was chair of its section on Statistical Consulting in 2009. He also is an active member of the Eastern North American Region of the International Biometrics Society and aws elected by the voting membership to the Regional Committee from 2003 to 2006. Professor Craig has served on the editorial board of several statistical journals and has been a member of several data and safety monitoring boards, including Purdues IRB. Professor Craigs research interests focus on the development of novel statistical methodology to address research questions in the life sciences. Areas of current interest are protein structure determination, diagnostic testing, and animal abundance estimation. In 2005, he was named Purdue University Faculty Scholar.
Table of Contents
Data Set files needed to complete exercises and examples in the book can be downloaded from the open-access student companion website. Data Sets are available in Excel, CSV, Minitab, R, JMP, TI, SPSS, PC-Text, and Mac-Text formats.
Part I Looking at Data
CHAPTER 1 Looking at Data—Distributions 1
CHAPTER 2 Looking at Data—Relationships
CHAPTER 3 Producing Data
Part II Probability and Inference
CHAPTER 4 Probability: The Study of Randomness
CHAPTER 5 Sampling Distributions
CHAPTER 6 Introduction to Inference
CHAPTER 7 Inference for Means
CHAPTER 8 Inference for Proportions
Part III Topics in Inference
CHAPTER 9 Inference for Categorical Data
CHAPTER 10 Inference for Regression
CHAPTER 11 Multiple Regression
CHAPTER 12 One-Way Analysis of Variance
CHAPTER 13 Two-Way Analysis of Variance
Companion Chapters
CHAPTER 14 Logistic Regression
CHAPTER 15 Nonparametric Tests
CHAPTER 16 Bootstrap Methods and Permutation Tests
CHAPTER 17 Statistics for Quality: Control and Capability
Product Updates
Achieve Online Homework
Macmillan’s new online learning tool Achieve features intuitive design, assessment, insights, and reporting built with the direct input of students, educators, and our learning science team. Achieve for Introduction to the Practice of Statistics features
- Learning Objectives tagged to all assessments within Achieve.
- In-Class Activity Guides to facilitate active learning during class time.
over 3,000 homework questions, each with hints, answer-specific feedback, and a fully worked solution. - LearningCurve adaptive quizzing.
- an interactive e-book, powered by VitalSource.
- multimedia student resources, such as interactive applets and videos.
- data sets for common statistical software, video technology manuals, and access to Macmillan’s proprietary statistical software, CrunchIt!
Content Updates to the Tenth Edition
- Approximately 30% of the examples and exercises have been revised or replaced for currency and up-to-date data, covering applications from cryptocurrencies to Instagram usage.
- To gain students’ attention, each chapter begins with interesting real-world questions that will be studied in the chapter, one of which is tied to the chapter-opening photo.
- Learning objectives have been revised and fully integrated into the beginning and end of each section and provide relevant examples and exercises for review and practice.
- Check-in questions, formerly known as Use Your Knowledge Questions, encourage students to actively assess their understanding as they work through the material. Check-in questions now have their own separate numbering sequence.
- Putting It Together exercises at the end of each chapter emphasize the key skill of “statistical thinking” – how to plan how to solve a problem by assessing the information, making assumptions, selecting the appropriate method to use, analyzing or comparing results, and drawing conclusions, etc.
- Through enhanced visual pedagogy, key figures now include explanatory annotations to help students interpret and master new graphical representations. All figures have been revised for consistency and accessibility, and the design has been streamlined.
- Additional software outputs for certain examples as well as Video Technology Manuals for key topics are available online in Achieve (indicated by icons in the book).
Think like a statistician with Introduction to the Practice of Statistics and Achieve
Now available with Macmillan’s new online learning tool Achieve, Introduction to the Practice of Statistics, 10th edition, prepares students for the application of statistics in the real world by using current examples and encouraging exploration into data analysis and interpretation. The text enforces statistical thinking by providing learning objectives and linked exercises to help students master core statistics concepts and think beyond the calculations.
Achieve for Introduction to the Practice of Statistics integrates outcome-based learning objectives and a wealth of examples with assessment in an easy-to-use interface. Students are provided with rich digital resources that solidify conceptual understanding, as well as homework problems with hints, answer-specific feedback, and a fully worked solution.
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David S. Moore; George P. McCabe; Bruce Craig | Tenth Edition | ©2021 | ISBN:9781319377687
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Integrate Macmillan courses with Blackboard
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If you’re a verified instructor, you can request a free sample of our courseware, e-book, or print textbook to consider for use in your courses. Only registered and verified instructors can receive free print and digital samples, and they should not be sold to bookstores or book resellers. If you don't yet have an existing account with Macmillan Learning, it can take up to two business days to verify your status as an instructor. You can request a free sample from the right side of this product page by clicking on the "Request Instructor Sample" button or by contacting your rep. Learn more.
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Sometimes also referred to as a spiral-bound or binder-ready textbook, loose-leaf textbooks are available to purchase. This three-hole punched, unbound version of the book costs less than a hardcover or paperback book.
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Achieve (full course) includes our complete e-book, as well as online quizzing tools, multimedia assets, and iClicker active classroom manager.
Most Achieve Essentials courses do not include our e-books and adaptive quizzing.
Visit our comparison table for details: https://www.macmillanlearning.com/college/us/digital/achieve/compare
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Achieve (full course) includes our complete e-book, as well as online quizzing tools, multimedia assets, and iClicker active classroom manager.
Achieve Read & Practice only includes our e-book and adaptive quizzing, and does not include instructor resources and assignable assessments. Read & Practice does integrate with LMS.
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We can help! Contact your representative to discuss your specific needs for your course. If our off-the-shelf course materials don’t quite hit the mark, we also offer custom solutions made to fit your needs.
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Introduction to the Practice of Statistics
Now available with Macmillan’s new online learning tool Achieve, Introduction to the Practice of Statistics, 10th edition, prepares students for the application of statistics in the real world by using current examples and encouraging exploration into data analysis and interpretation. The text enforces statistical thinking by providing learning objectives and linked exercises to help students master core statistics concepts and think beyond the calculations.
Achieve for Introduction to the Practice of Statistics integrates outcome-based learning objectives and a wealth of examples with assessment in an easy-to-use interface. Students are provided with rich digital resources that solidify conceptual understanding, as well as homework problems with hints, answer-specific feedback, and a fully worked solution.
These materials are owned by Macmillan Learning or its licensors and are protected by United States copyright law. They are being provided solely for evaluation purposes only by instructors who are considering adopting Macmillan Learning's textbooks or online products for use by students in their courses. These materials may not be copied, distributed, sold, shared, posted online, or used, in print or electronic format, except in the limited circumstances set forth in the Macmillan Learning Terms of Use and any other reproduction or distribution is illegal. These materials may not be made publicly available under any circumstances. All other rights reserved. © 2020 Macmillan Learning.
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