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The Basic Practice of Statistics

Ninth Edition ©2021 David S. Moore; William I. Notz; Michael Fligner

Now available with Macmillan’s new online learning tool Achieve, the ninth edition of The Basic Practice of Statistics 9e teaches statistical thinking by guiding students through an investigative process of problem-solving with pedagogy designed to help students of all levels. Examples a...

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Look Inside Look Inside The Basic Practice of Statistics by David S. Moore; William I. Notz; Michael Fligner - Ninth Edition, 2021 from Macmillan Student Store

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Empowering problem-solving and real world decision-making with The Basic Practice of Statistics and Achieve

Now available with Macmillan’s new online learning tool Achieve, the ninth edition of The Basic Practice of Statistics 9e teaches statistical thinking by guiding students through an investigative process of problem-solving with pedagogy designed to help students of all levels. Examples and exercises from a wide variety of topic areas use current, real data to provide students insight into how and why statistics are used to make decisions in the real world.

Achieve for The Basic Practice of Statistics connects the trusted Four-Step problem-solving approach and real world examples in the book to rich digital resources that foster further understanding and application of statistics. Assets in Achieve support learning before, during, and after class for students, while providing instructors with class performance analytics in an easy-to-use interface.

Features

Achieve Online Homework

  • Over 3,000 homework questions of varying difficulty, Bloom’s level, and question type. Every homework question includes a hint, answer-specific feedback, and a fully worked solution. Question types in Achieve include:
    - Multiple choice
    - Ranking
    - Sorting
    - Numeric entry
    - Multi-part questions
    - Questions with algorithmically regenerating values
  • LearningCurve adaptive quizzing puts the concept of "testing to learn" into action, motivating students to engage with the text's content to identify areas of proficiency. Easy-to-use reporting tools help teachers pinpoint areas to focus on in class.
  • A mobile, interactive e-book, powered by VitalSource, allows students to highlight and take notes, print select pages, and have the text read aloud to them.
  • Over 140 StatTutors--multimedia tutorials that explore important concepts and procedures in a presentation that combines video, audio, and interactive features--are assignable, gradeable, and organized by chapter.
  • Applet Activities, called out from the text, are visual interactives that allow students to manipulate data and variables in calculations and see the results graphically. Applets also contain assessment questions to test students’ comprehension.
  • Videos provide additional exposure to key concepts and examples. Videos are narrated and close-captioned. Video types include:
    - Whiteboard-style problem-solving videos
    - StatTutor video lessons
    - Animated lectures and documentary-style videos that illustrate real world scenarios involving statistics
  • EESEE (Electronic Encyclopedia of Statistical Examples and Exercises) Case Studies, developed by the Ohio State University Statistics Department, teach students to apply their statistical skills by exploring actual case studies using real data.
  • Video Technology Manuals are brief instructional videos that provide basic introductions for working with CrunchIt!, Excel, SPSS, TI-83/84 calculators, JMP, Minitab, R, and RCmdr.

Statistical software options:

  • CrunchIt!, Macmillan’s proprietary online statistical software powered by R, handles every computation and graphing function an introductory statistics student needs. CrunchIt! is preloaded with data sets, and it allows editing and importing additional data.
  • Students also receive access to JMP Student Edition (developed by SAS). With the student edition of JMP, students handle large data, visualizations, and analysis for which the professional version is renowned. Additionally, text-specific data sets are included for download.
  • For other statistical software, Achieve includes data sets, including those for:
    - Excel
    - Minitab
    - R & RCmdr
    - SPSS
    - TI Calculators
    - Mac-text & PC-text
    - CSV file export

IN THE TEXTBOOK:

  • Four-Step Problem-Solving examples guide students through the four-step process for working through statistical problems: State, Plan, Solve, Conclude. Students are instructed to apply that process in designated exercises.
  • Apply Your Knowledge sections reinforce key concepts with exercises to encourage students to read more actively and cement new concepts by applying them as they learn.
  • Examples of Technology, located where most appropriate, display and comment on the output from popular statistical software applications (notably Excel, Minitab, JMP, SPSS, and R) and TI 83/84 graphing calculators in the context of worked examples.
  • Definition and Theorem Boxes in the text alert students to key concepts and rules.
  • Caution Boxes warn students of common mistakes or misconceptions while solving problems.
  • Statistics in Your World callouts further connect statistics topics to the real world, highlighting examples and applications from a variety of fields.
  • The main themes of the text are directly connected to and aligned to the GAISE guidelines (from the College Report of the Guidelines in Assessment and Instruction for Statistics Education Project).
  • Online Resource Callouts are featured at numerous locations within the chapter, including references to related online resources such as video technology manuals, data sets, and whiteboard-style problem-solving videos.

New to This Edition

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 The Basic 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 Ninth Edition:

  • Examples and exercises more clearly emphasize the decision-making process.
  • Chapter Summaries and Review Chapters have been revised to help students check their knowledge and review for exams.
    - Summaries are in concise list form, and Skills Reviews (in Review Chapters) refer back to relevant chapter sections.
  • Data in examples and exercises have been updated for currency, and new examples and exercises explore contemporary issues such as social media usage.

“BPS has a great history and improves with each version.  BPS always has a polished presentation with excellent explanations.”
--Patricia Buchanan, Professor, Statistics Dept, Pennsylvania State University – Main Campus

“The level of comprehensiveness is consistent. The writing style is very accessible even for students without English as a first language.”
--Elijah Dikong, Professor, Probability and Statistics Dept, Michigan State University

“Please keep up the great work! Thank you for a great textbook.”
--Rita Chattopadhyay, Professor, Mathematics and Statistics Dept, Eastern Michigan University

Digital Options

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Table of Contents

Chapter 0 Getting Started

Part I: Exploring Data
Chapter 1 Picturing Distributions with Graphs
Chapter 2 Describing Distributions with Numbers
Chapter 3 The Normal Distributions
Chapter 4 Scatterplots and Correlation
Chapter 5 Regression
Chapter 6 Two-Way Tables
Chapter 7 Exploring Data: Part I Review

Part II: Producing Data
Chapter 8 Producing Data: Sampling
Chapter 9 Producing Data: Experiments
Chapter 10 Data Ethics
Chapter 11 Producing Data: Part II Review

Part III: From Data Production to Inference
Chapter 12 Introducing Probability
Chapter 13 General Rules of Probability
Chapter 14 Binomial Distributions
Chapter 15 Sampling Distributions
Chapter 16 Confidence Intervals: The Basics
Chapter 17 Tests of Significance: The Basics
Chapter 18 Inference in Practice
Chapter 19 From Data Production to Inference: Part III Review

Part IV: Inference about Variables
Chapter 20 Inference about a Population Mean
Chapter 21 Comparing Two Means
Chapter 22 Inference about a Population Proportion
Chapter 23 Comparing Two Proportions
Chapter 24 Inference about Variables: Part IV Review
Chapter 25 Categorical Variables: The Chi-Square Test
Chapter 26 Inference for Regression
Chapter 27 One-Way Analysis of Variance: Comparing Several Means

Part VI: Optional Companion Chapters Available Online
Chapter 28 Nonparametric Tests
Chapter 29 Multiple Regression
Chapter 30 Two-Way Analysis of Variance
Chapter 31 Statistical Process Control
Chapter 32 Resampling: Permutation Tests and the Bootstrap

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.

William I. Notz

William I. Notz is Professor of Statistics at the Ohio State University. He received his B.S. in physics from the Johns Hopkins University and his Ph.D. in mathematics from Cornell University. His first academic job was as an assistant professor in the Department of Statistics at Purdue University. While there, he taught the introductory concepts course with Professor Moore and as a result of this experience he developed an interest in statistical education. Professor Notz is a co-author of EESEE (the Electronic Encyclopedia of Statistical Examples and Exercises) and co-author of Statistics: Concepts and Controversies.
Professor Notz’s research interests have focused on experimental design and computer experiments. He is the author of several research papers and of a book on the design and analysis of computer experiments. He is an elected fellow of the American Statistical Association. He has served as the editor of the journal Technometrics and as editor of the Journal of Statistics Education. He has served as the Director of the Statistical Consulting Service, as acting chair of the Department of Statistics for a year, and as an Associate Dean in the College of Mathematical and Physical Sciences at the Ohio State University. He is a winner of the Ohio State University’s Alumni Distinguished Teaching Award.

Michael A. Fligner

Michael A. Fligner is an Adjunct Professor at the University of California at Santa Cruz and a non-resident Professor Emeritus with the Ohio State University. He received his B.S. in mathematics from the State University of New York at Stony Brook and his Ph.D. from the University of Connecticut. He spent almost 40 years at the Ohio State University where he was Vice Chair of the Department for over 10 years and also served as Director of the Statistical Consulting Service. He has done consulting work with several large corporations in Central Ohio. Professor Fligner's research interests are in Nonparametric Statistical methods and he received the Statistics in Chemistry award from the American Statistical Association for work on detecting biologically active compounds. He is co-author of the book Statistical Methods for Behavioral Ecology and received a Fulbright scholarship under the American Republics Research program to work at the Charles Darwin Research Station in the Galapagos Islands. He has been an Associate Editor of the Journal of Statistical Education. Professor Fligner is currently associated with the Center for Statistical Analysis in the Social Sciences at the University of California at Santa Cruz.

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David S. Moore; William I. Notz; Michael Fligner | Ninth Edition | ©2021 | ISBN:9781319365295

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David S. Moore; William I. Notz; Michael Fligner | Ninth Edition | ©2021 | ISBN:9781319365226
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