Brief Contents PART I: EXPLORING AND COLLECTING DATA Data and Decisions (H&M)Visualizing and Describing Categorical Data (Dalia Research)Describing, Displaying, and Visualizing Quantitative Data (AIG)Correlation and Linear Regression (Zillow.com) PART II: MODELING AND PROBABILITY Randomness and Probability (Credit Reports, the Fair Isaacs Corporation, and Equifax)Random Variables and Probability Models (Metropolitan Life Insurance Company)The Normal and Other Continuous Distributions (The NYSE) PART III: GATHERING DATA Data Sources: Observational Studies and Surveys (Roper Polls)Data Sources: Experiments (Capital One) PART IV: INFERENCE FOR DECISION MAKING Sampling Distributions and Confidence Intervals for Proportions (Marketing Credit Cards: The MBNA Story)Confidence Intervals for Means (Guinness & Co.)Testing Hypotheses (Casting Ingots)More About Tests and Intervals (Traveler’s Insurance)Comparing Two Means (Visa Global Organization)Inference for Counts: Chi-Square Tests (SAC Capital) PART V: MODELS FOR DECISION MAKING Inference for Regression (Nambé Mills)Understanding Residuals (Kellogg’s)Multiple Regression (Zillow.com)Building Multiple Regression Models (Bolliger and Mabillard)Time Series Analysis (Whole Foods Market®) PART VI: ANALYTICS Introduction to Big Data and Data Mining (Paralyzed Veterans of America) PART VII: ONLINE TOPICS Quality Control (Sony)Nonparametric Methods (i4cp)Decision Making and Risk (Data Description, Inc.)Analysis of Experiments and Observational Studies Appendix A. Answers Appendix B. Tables and Selected Formulas Appendix C. Credits
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A solid framework helps students focus on the essentials and think about the data-rich world they’ll discover in the workplace Updated - An improved organization or “data first” presentation of topics motivates students and provides them with a foundation in real business decisions on which to build their understanding.New - A streamlined design clarifies the purpose of each text element. Updated - Examples reflect the changing world and real-life business challenges; the result is a text that is realistic and useful.Updated - An increased focus on central ideas and core material. Influenced by the GAISE 2016 Report, the 4th Edition features tightened discussions on statistical methods, how to apply them, and the assumptions and conditions that make them work -- to get students there as quickly as possible.A flexible syllabus allows instructors to select and sequence chapters to suit their needs or the needs of the course.   Grounded in modern business, this text provides a real-world context for statistical concepts The authors’ unique blend of teaching, consulting, and entrepreneurial experiences, along with a conversational, approachable writing style, add to the text’s appeal to today’s students.Updated - Examples, exercises, and applications use real and recent data to tie the concepts to the way statistics is used to make better business decisions.Chapter-Opening Vignettes present scenarios using real-world information and well-known companies such as Amazon, Zillow, Keen Inc., and Whole Foods Market, to illustrate a managerial statistical issue. End-of-Chapter Brief Cases use real data and ask students to investigate a question or make a business decision.More in-depth than Brief Cases, Case Studies provide students with realistically large datasets and challenge them to respond to open-ended business questions using the data. An emphasis on better statistical thinking trains students to apply statistics correctly.A focus on checking assumptions and conditions when using statistical procedures is emphasized throughout the text, as students learn that blind calculations open the door to errors that could be easily avoided.Updated - Ethics in Action illustrate the judgment needed in statistical analysis. Questions are included for study and reflection.What Can Go Wrong? prepares students with the tools they need to detect common statistical errors and offers practice in debunking misuses of statistics. An emphasis on graphing and exploring data helps students uncover structures, patterns, and anomalies. This helps them to raise new questions, perform statistical analysis, and make the best business decision.   Study tools prepare students to analyze and interpret data In Practice reports -- structured as conversations between a manager and an analyst or employee -- help to frame statistical issues in a practical way.Plan/Do/Report Guided Examples provide a model to help students approach and solve any business statistics problem. Reports are frequently presented in the form of a business memo, helping students become familiar with framing and communicating results in a business setting.Helpful Margin Notes include:By Hand boxes that break apart the calculation of some of the simpler formulas.Reality Checks that ask students to revisit their thinking before interpreting results.  Notation Alerts that call out special notations.Math boxes that present the mathematical underpinnings of statistical methods and concepts. Just Checking ask students to stop and think about what they’ve just read. These questions involve little to no calculation, and answers are provided at the end of the chapter so students can check their work.From Learning to Earning chapter summaries provide an overview of the chapter’s concepts through annotated learning objectives and a list of boldface (new) terms and their definitions.Section Exercises target topics in each section and help students check their understanding of said topics. Chapter Exercises are more realistic than section exercises, and lead students to conclusions about the real world. They’re included within each chapter and progress in difficulty and complexity.   Integrated technology helps students use real statistics software Videos with optional captioning feature the authors reviewing the high points of each chapter. In addition, 10 Business Insight Videos showcase Deckers, Southwest Airlines, Starwood, and other companies and focus on statistical concepts as they pertain to the real world. Updated - Tech Support reflects the latest technology releases and includes step-by-step guidance for XLSTAT™ for Pearson, an Excel add-in offered (bundled) with the textbook.XLSTAT™ for Pearson enhances the analytical capabilities of Excel. Developed in 1993, XLSTAT is used by leading businesses and universities around the world. XLSTAT is compatible with all Excel versions.   Also available with MyLab Business Statistics MyLab™ is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab personalizes the learning experience and improves results for each student. Learn more about MyLab Business Statistics. Reach every student with MyLab Teach your course your way: Your course is unique. So whether you’d like to build your own assignments, teach multiple sections, or set prerequisites, MyLab gives you the flexibility to easily create your course to fit your needs.Homework and practice exercises in MyLab go beyond the mechanics, reflecting each author’s approach and learning style, while exercises regenerate algorithmically to give students unlimited opportunity for practice and mastery. Statistical Software Support - MyLab makes learning and using statistical software programs like StatCrunch® or Excel® seamless and intuitive, with tutorial videos and study cards. Empower each learner: Each student learns at a different pace. Personalized learning pinpoints the precise areas where each student needs practice, giving all students the support they need -- when and where they need it -- to be successful.Question Help consists of homework and practice questions to give students unlimited opportunities to master concepts. Learning aids walk students through the problem -- giving them assistance when they need it most.  The Getting Ready for Statistics Library contains more than 450 exercises to ensure students have mastered the required developmental math topics, before beginning their statistics course. These are key for students who may need extra prerequisite support and can be added to any assignment. Deliver trusted content: You deserve teaching materials that meet your own high standards for your course. That’s why we partner with highly respected authors to develop interactive content and course-specific resources that you can trust -- and that keep your students engaged. Using field tested technology, auto-graded Excel Projects let you seamlessly integrate Microsoft® Excel content into your course without having to manually grade spreadsheets. StatCrunch, a powerful, web-based statistical software, is integrated into MyLab, so students can quickly and easily analyze data sets from their text and exercises. New - StatCrunch Projects provide opportunities for students to analyze big data, practice statistical thinking, and make data-informed decisions. Each projects consists of a series of questions about a large data set to provide a deeper dive on business statistics topics. Improve student results: When you teach with MyLab, student performance improves. That’s why instructors have chosen MyLab for over 15 years, touching the lives of over 50 million students.   Check out the preface for a complete list of features and what's new in this edition.
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A solid framework helps students focus on the essentials and think about the data-rich world they’ll discover in the workplace An improved organization or “data first” presentation of topics motivates students and provides them with a foundation in real business decisions on which to build their understanding.A streamlined design clarifies the purpose of each text element. Examples reflect the changing world and real-life business challenges; the result is a text that is realistic and useful.An increased focus on central ideas and core material. Influenced by the GAISE 2016 Report, the 4th Edition features tightened discussions on statistical methods, how to apply them, and the assumptions and conditions that make them work -- to get students there as quickly as possible.   Grounded in modern business, this text provides a real-world context for statistical concepts Examples, exercises, and applications use real and recent data to tie the concepts to the way statistics is used to make better business decisions.Chapter-Opening Vignettes present scenarios using real-world information and well-known companies such as Amazon, Zillow, Keen Inc., and Whole Foods Market, to illustrate a managerial statistical issue. End-of-Chapter Brief Cases use real data and ask students to investigate a question or make a business decision.More in-depth than Brief Cases, Case Studies provide students with realistically large datasets and challenge them to respond to open-ended business questions using the data. An emphasis on better statistical thinking trains students to apply statistics correctly.Ethics in Action illustrate the judgment needed in statistical analysis. Questions are included for study and reflection.   Integrated technology helps students use real statistics software Tech Support reflects the latest technology releases and includes step-by-step guidance for XLSTAT™ for Pearson, an Excel add-in offered (bundled) with the textbook.    Reach every student with MyLab StatCrunch Projects provide opportunities for students to analyze big data, practice statistical thinking, and make data-informed decisions. Each projects consists of a series of questions about a large data set to provide a deeper dive on business statistics topics.  Check out the preface for a complete list of features and what's new in this edition.
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Produktdetaljer

ISBN
9780134693941
Publisert
2019-09-04
Utgave
4. utgave
Utgiver
Vendor
Pearson
Aldersnivå
U, 05
Språk
Product language
Engelsk
Format
Product format
Kort
Antall sider
8

Biographical note

Norean R. Sharpe, PhD, is Dean and the Joseph H. and Maria C. Schwartz Distinguished Chair at The Peter J. Tobin College of Business at St. John’s University. As the chief academic officer of the Tobin College of Business, she is responsible for the curriculum for 2500 undergraduate business majors and 600 graduate students in one of seven MS/MBA programs, all supported by more than 150 faculty and staff on the Manhattan; Queens; Staten Island; and Rome, Italy campuses. Within the Tobin College is the Center for Enterprise Risk Management, the Applied Finance Institute, and the Global Business Stewardship Center, as well as the acclaimed School of Risk Management, Insurance, and Actuarial Science.

 

Dr. Sharpe is an accomplished scholar, with 30 years of teaching experience at Yale University, Bowdoin College, Babson College, and Georgetown University -- and with more than 30 scholarly publications in analytics and statistics education. Her research interests include time series analysis, forecasting, analytics, and women’s roles in entrepreneurship in the Middle East. Dr. Sharpe earned her BA from Mt. Holyoke College, her MS from the University of North Carolina, and her PhD in Systems Engineering from the University of Virginia.

 

Richard D. De Veaux (PhD Stanford University) is an internationally known educator, consultant, and lecturer. Dick has taught statistics at a business school (Wharton), an engineering school (Princeton), and a liberal arts college (Williams). While at Princeton, he won a Lifetime Award for Dedication and Excellence in Teaching. Since 1994, he has taught at Williams College, although he returned to Princeton for the academic year 2006—2007 as the William R. Kenan Jr. Visiting Professor of Distinguished Teaching. He is currently the C. Carlisle and Margaret Tippit Professor of Statistics at Williams College. Dick holds degrees from Princeton University in Civil Engineering and Mathematics and from Stanford University in Dance Education and Statistics, where he studied with Persi Diaconis. His research focuses on the analysis of large datasets and data mining in science and industry. Dick has won both the Wilcoxon and Shewell awards from the American Society for Quality. He is an elected member of the International Statistics Institute (ISI) and a Fellow of the American Statistical Association (ASA). Dick is also well known in industry, having consulted for such Fortune 500 companies as American Express, Hewlett-Packard, Alcoa, DuPont, Pillsbury, General Electric, and Chemical Bank. He was named Statistician of the Year for 2008 by the Boston Chapter of the American Statistical Association. In his spare time he is an avid cyclist and swimmer. He also is the founder and bass for the doo-wop group the Diminished Faculty and is a frequent singer and soloist with various local choirs, including the Choeur Vittoria of Paris, France. Dick is the father of four children.


Paul F. Velleman (PhD Princeton University) has an international reputation for innovative statistics education. He designed the Data Desk® software package and is also the author and designer of the award-winning ActivStats® multimedia software, for which he received the EDUCOM Medal for innovative uses of computers in teaching statistics and the ICTCM Award for Innovation in Using Technology in College Mathematics. He is the founder and CEO of Data Description, Inc. (www.datadesk.com), which supports both of these programs. Data Description also developed and maintains the Internet site Data and Story Library (DASL; dasl.datadescription.com), which provides all of the datasets used in this text as well as many others useful for teaching statistics, and the statistics conceptual tools at astools.datadesk.com. Paul coauthored (with David Hoaglin) the book ABCs of Exploratory Data Analysis. Paul is Emeritus Professor of Statistical Sciences, where he was at Cornell University awarded the MacIntyre Prize for Exemplary Teaching. Paul earned his MS and PhD from Princeton University, where he studied with John Tukey. His research often focuses on statistical graphics and data analysis methods. Paul is a Fellow of the American Statistical Association and of the American Association for the Advancement of Science. Paul was a member of the working group that developed the GAISE 2016 guidelines for teaching statistics. Paul’s experience as a professor, entrepreneur, and business leader brings a unique perspective to the book.

 

Richard De Veaux and Paul Velleman have authored successful books in the introductory college and AP High School market with David Bock, including Intro Stats, 5th Edition (Pearson, 2018); Stats: Modeling the World, 5th Edition (Pearson, 2019); and Stats: Data and Models, 4th Edition (Pearson, 2016).