Workshop Statistics: Discovery with Data, 4th Edition

Discovery with Data and Fathom

Author: Allan J. Rossman

Publisher: Wiley Global Education

ISBN: 1118213424

Category: Mathematics

Page: 752

View: 4926

Allan Rossman's 4th Edition of Workshop Statistics: Discovery with Data, is enhanced from previous issues with more focus and emphasis on collaborative learning. It further requires student observation, and integrates technology for gathering, recording, and synthesizing data. The text offers more flexibility in selecting technology tools for classrooms primarily using technologies other than graphing calculators or FathomTM Dynamic Data software. Furthermore, it presents more standards for teaching statistics in an innovative, investigative, and accessible as well as provides in-depth guidance and resources to support active learning of statistics and includes updated real data sets with everyday applications in order to promote statistical literacy.
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Workshop Statistics:

Discovery With Data and Minitab

Author: Allan J. Rossman,Beth L. Chance

Publisher: Springer Science & Business Media

ISBN: 147572926X

Category: Mathematics

Page: 486

View: 1821

Shorn of all subtlety and led naked out of the protec tive fold of educational research literature, there comes a sheepish little fact: lectures don't work nearly as well as many of us would like to think. -George Cobb (1992) This book contains activities that guide students to discover statistical concepts, explore statistical principles, and apply statistical techniques. Students work toward these goals through the analysis of genuine data and through inter action with one another, with their instructor, and with technology. Providing a one-semester introduction to fundamental ideas of statistics for college and advanced high school students, Warkshop Statistics is designed for courses that employ an interactive learning environment by replacing lectures with hands on activities. The text contains enough expository material to stand alone, but it can also be used to supplement a more traditional textbook. Some distinguishing features of Workshop Statistics are its emphases on active learning, conceptual understanding, genuine data, and the use of technology. The following sections of this preface elaborate on each of these aspects and also describe the unusual organizational structure of this text.
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Workshop Statistics

Discovery with Data and Fathom

Author: Allan J. Rossman,Beth L. Chance,Robin H. Lock,Workshop Mathematics Project

Publisher: Springer Science & Business Media

ISBN: 9781930190085

Category: Mathematics

Page: 654

View: 3408

Workshop statistics: discovery with data and fathom integrates instructions specific to Fathom while retaining all the distinctive features of the original text. Fathom is an open-format statistical learning environment that allows dynamic manipulation developing conceptual and graphical understanding, as well as for most standard computational tasks. This text focuses on probability and the Bayesian view point. It presents basic material of probability and the introduces inference by means of Bayensian rules. The emphasis of the book is on statistical thinking and how one learns from data.
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Workshop Statistics

Discovery with Data

Author: Allan J. Rossman,Beth L. Chance

Publisher: Wiley

ISBN: 9780470607657

Category: Mathematics

Page: 688

View: 6775

This text is an unbound, binder-ready edition. Allan Rossman's 4th Edition of Workshop Statistics: Discovery with Data, Binder Ready Version is enhanced from previous issues with more focus and emphasis on collaborative learning. It further requires student observation, and integrates technology for gathering, recording, and synthesizing data. The text offers more flexibility in selecting technology tools for classrooms primarily using technologies other than graphing calculators or Fathom Dynamic Data software. Furthermore, it presents more standards for teaching statistics in an innovative, investigative, and accessible as well as provides in-depth guidance and resources to support active learning of statistics and includes updated real data sets with everyday applications in order to promote statistical literacy.
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Workshop Statistics

Discovery with Data, JMP Companion Manual

Author: Allan J. Rossman,Christopher J. Lacke,Beth L. Chance

Publisher: John Wiley & Sons

ISBN: 0470621842

Category: Mathematics

Page: 228

View: 9805

This third edition features many new activities that students with authentic studies that address specific research questions, helping them to recognize the power of statistics to answer questions of genuine interest in everyday life. New and updated data sets from real studies, such as fat content in ice cream brands, textbook prices, and much more, also feature.
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Workshop Statistics

Discovery with Data, A Bayesian Approach

Author: James H. Albert,Jim Albert,Allan J. Rossman

Publisher: Springer Science & Business Media

ISBN: 9781930190122

Category: Mathematics

Page: 532

View: 8778

The "workshop approach" builds upon analysis of genuine data and leads to practical working experience. Unique in its format, the text allows students to discover statistical concepts, explore statistical principles, and apply statistical techniques. The book, in addition to the numerous activities and exercises around which the text is built, includes basic text exposition for each topic, concept "wrap-ups", and data appendices. Among the many features are an emphasis on Bayesian techniques, which focus on the concept of statistical inference.
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Workshop Statistics, with Student CD and Access

Discovery with Data

Author: Allan J. Rossman,Beth L. Chance

Publisher: Wiley

ISBN: 9780470413487

Category: Mathematics

Page: 660

View: 6385

The Workshop Statistics™ series has set a standard for teaching statistics in an innovative, investigative, and accessible manner for introductory college courses, as well as for the high school statistics classroom, including AP® Statistics. In its third edition, Workshop Statistics: Discovery with Data continues to emphasize collaborative learning, require student observation, and integrate technology for gathering, recording, and synthesizing data. The third edition provides even more guidance and resources for students to support their active learning of statistics and includes updated real data sets with everyday applications in order to promote statistical literacy. This version of the text provides the most flexibility in selecting technology tools and is recommended for classrooms primarily using technologies other than graphing calculators or Fathom™ Dynamic Data software.
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Bayesian Computation with R

Author: Jim Albert

Publisher: Springer Science & Business Media

ISBN: 0387922989

Category: Mathematics

Page: 300

View: 5116

There has been dramatic growth in the development and application of Bayesian inference in statistics. Berger (2000) documents the increase in Bayesian activity by the number of published research articles, the number of books,andtheextensivenumberofapplicationsofBayesianarticlesinapplied disciplines such as science and engineering. One reason for the dramatic growth in Bayesian modeling is the availab- ity of computational algorithms to compute the range of integrals that are necessary in a Bayesian posterior analysis. Due to the speed of modern c- puters, it is now possible to use the Bayesian paradigm to ?t very complex models that cannot be ?t by alternative frequentist methods. To ?t Bayesian models, one needs a statistical computing environment. This environment should be such that one can: write short scripts to de?ne a Bayesian model use or write functions to summarize a posterior distribution use functions to simulate from the posterior distribution construct graphs to illustrate the posterior inference An environment that meets these requirements is the R system. R provides a wide range of functions for data manipulation, calculation, and graphical d- plays. Moreover, it includes a well-developed, simple programming language that users can extend by adding new functions. Many such extensions of the language in the form of packages are easily downloadable from the Comp- hensive R Archive Network (CRAN).
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Refining the Concept of Scientific Inference When Working with Big Data

Proceedings of a Workshop

Author: National Academies of Sciences, Engineering, and Medicine,Division on Engineering and Physical Sciences,Board on Mathematical Sciences and Their Applications,Committee on Applied and Theoretical Statistics

Publisher: National Academies Press

ISBN: 0309454476

Category: Mathematics

Page: 114

View: 5676

The concept of utilizing big data to enable scientific discovery has generated tremendous excitement and investment from both private and public sectors over the past decade, and expectations continue to grow. Using big data analytics to identify complex patterns hidden inside volumes of data that have never been combined could accelerate the rate of scientific discovery and lead to the development of beneficial technologies and products. However, producing actionable scientific knowledge from such large, complex data sets requires statistical models that produce reliable inferences (NRC, 2013). Without careful consideration of the suitability of both available data and the statistical models applied, analysis of big data may result in misleading correlations and false discoveries, which can potentially undermine confidence in scientific research if the results are not reproducible. In June 2016 the National Academies of Sciences, Engineering, and Medicine convened a workshop to examine critical challenges and opportunities in performing scientific inference reliably when working with big data. Participants explored new methodologic developments that hold significant promise and potential research program areas for the future. This publication summarizes the presentations and discussions from the workshop.
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Workshop Statistics, Discovery with Data and Fathom

Author: CTI Reviews

Publisher: Cram101 Textbook Reviews

ISBN: 1467270431

Category: Education

Page: 63

View: 9245

Facts101 is your complete guide to Workshop Statistics, Discovery with Data and Fathom. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.
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Investigating Statistical Concepts, Applications, and Methods

Author: Beth L. Chance,Allan J. Rossman

Publisher: Cengage Learning

ISBN: 0495050644

Category: Mathematics

Page: 607

View: 3875

INVESTIGATING STATISTICAL CONCEPTS, APPLICATIONS, AND METHODS (WITH CD-ROM) combines investigation and exposition to explore statistical ideas and techniques. Many of the investigations ask you to use technology such as statistical software and Java applets. A combination of practice, homework, and application problems emphasize actual studies.
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AP Statistics

Preparing for the Advanced Placement Exam

Author: James F. Bohan,Beth Chance

Publisher: Perfection Learning

ISBN: 9781567655810

Category: Juvenile Nonfiction

Page: 400

View: 4957

To help students develop the skills and strategies needed to succeed on the AP Statisitcs examination.
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Storytelling with Data

A Data Visualization Guide for Business Professionals

Author: Cole Nussbaumer Knaflic

Publisher: John Wiley & Sons

ISBN: 1119002265

Category: Mathematics

Page: 288

View: 5800

Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it!
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Calculus Connections

Mathematics for Middle School Teachers

Author: Asma Harcharras,Dorina Mitrea

Publisher: Prentice Hall

ISBN: N.A

Category: Mathematics

Page: 473

View: 5926

With challenging new standards-based middle school mathematics curricula now in place, future teachers need college-level mathematics instruction that better prepares them for their professional careers. Addresses the importance of learning calculus in preparation for the teaching of middle school mathematics, focusing on concepts and applications to illuminate the connections that exist between college-level calculus and the mathematics taught in today's middle schools. Examines the unique needs of future teachers in comparison to general calculus books. Initiates new topics with engaging discussion rather than the standard formula-proof-example approach. Stresses the interplay between geometry and calculus, and demonstrates the essential power of calculus for computing areas, lengths, surface areas, and volumes. For current or future mathematics teachers, or anyone interested in learning more about calculus.
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