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: 8262

DOWNLOAD NOW »

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.

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: 9090

DOWNLOAD NOW »

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.

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: 484

DOWNLOAD NOW »

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.

Workshop Statistics

Discovery with Data

Author: Allan J. Rossman,Beth L. Chance

Publisher: Wiley

ISBN: 9780470607657

Category: Mathematics

Page: 688

View: 8450

DOWNLOAD NOW »

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.

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: 7411

DOWNLOAD NOW »

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.

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: 7347

DOWNLOAD NOW »

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.

Bayesian Computation with R

Author: Jim Albert

Publisher: Springer Science & Business Media

ISBN: 0387922989

Category: Mathematics

Page: 300

View: 7678

DOWNLOAD NOW »

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).

Investigating Statistical Concepts, Applications, and Methods

Author: Beth L. Chance,Allan J. Rossman

Publisher: Cengage Learning

ISBN: 0495050644

Category: Mathematics

Page: 607

View: 1227

DOWNLOAD NOW »

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.

In the Deep Heart's Core

Author: Michael Johnston,Robert Coles

Publisher: Grove Press

ISBN: 9780802140241

Category: Education

Page: 240

View: 5890

DOWNLOAD NOW »

A Teach for America volunteer recounts his own tenuous education as well as his tenure in the rural Mississippi Delta, one of the poorest districts in the country, during which he encountered fierce racial divisions, drug problems, and gang violence. Reprint.

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: 0309454441

Category: Mathematics

Page: 114

View: 4894

DOWNLOAD NOW »

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.

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: 1895

DOWNLOAD NOW »

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

A Modern Approach to Regression with R

Author: Simon Sheather

Publisher: Springer Science & Business Media

ISBN: 0387096078

Category: Mathematics

Page: 393

View: 357

DOWNLOAD NOW »

This book focuses on tools and techniques for building regression models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to base inferences or conclusions only on valid models. Plots are shown to be an important tool for both building regression models and assessing their validity. We shall see that deciding what to plot and how each plot should be interpreted will be a major challenge. In order to overcome this challenge we shall need to understand the mathematical properties of the fitted regression models and associated diagnostic procedures. As such this will be an area of focus throughout the book. In particular, we shall carefully study the properties of resi- als in order to understand when patterns in residual plots provide direct information about model misspecification and when they do not. The regression output and plots that appear throughout the book have been gen- ated using R. The output from R that appears in this book has been edited in minor ways. On the book web site you will find the R code used in each example in the text.

Information Visualization in Data Mining and Knowledge Discovery

Author: Usama M. Fayyad,Andreas Wierse,Georges G. Grinstein

Publisher: Morgan Kaufmann

ISBN: 9781558606890

Category: Computers

Page: 407

View: 2883

DOWNLOAD NOW »

Mainstream data mining techniques significantly limit the role of human reasoning and insight. Likewise, in data visualization, the role of computational analysis is relatively small. The power demonstrated individually by these approaches to knowledge discovery suggests that somehow uniting the two could lead to increased efficiency and more valuable results. But is this true? How might it be achieved? And what are the consequences for data-dependent enterprises? Information Visualization in Data Mining and Knowledge Discovery is the first book to ask and answer these thought-provoking questions. It is also the first book to explore the fertile ground of uniting data mining and data visualization principles in a new set of knowledge discovery techniques. Leading researchers from the fields of data mining, data visualization, and statistics present findings organized around topics introduced in two recent international knowledge discovery and data mining workshops. Collected and edited by three of the area's most influential figures, these chapters introduce the concepts and components of visualization, detail current efforts to include visualization and user interaction in data mining, and explore the potential for further synthesis of data mining algorithms and data visualization techniques. This incisive, groundbreaking research is sure to wield a strong influence in subsequent efforts in both academic and corporate settings. * Details advances made by leading researchers from the fields of data mining, data visualization, and statistics. * Provides a useful introduction to the science of visualization, sketches the current role for visualization in data mining, and then takes a long look into its mostly untapped potential. * Presents the findings of recent international KDD workshops as formal chapters that together comprise a complete, cohesive body of research. * Offerss compelling and practical information for professionals and researchers in database technology, data mining, knowledge discovery, artificial intelligence, machine learning, neural networks, statistics, pattern recognition, information retrieval, high-performance computing, and data visualization.

Knowledge Discovery from Data Streams

Author: Joao Gama

Publisher: CRC Press

ISBN: 1439826129

Category: Business & Economics

Page: 255

View: 3861

DOWNLOAD NOW »

Since the beginning of the Internet age and the increased use of ubiquitous computing devices, the large volume and continuous flow of distributed data have imposed new constraints on the design of learning algorithms. Exploring how to extract knowledge structures from evolving and time-changing data, Knowledge Discovery from Data Streams presents a coherent overview of state-of-the-art research in learning from data streams. The book covers the fundamentals that are imperative to understanding data streams and describes important applications, such as TCP/IP traffic, GPS data, sensor networks, and customer click streams. It also addresses several challenges of data mining in the future, when stream mining will be at the core of many applications. These challenges involve designing useful and efficient data mining solutions applicable to real-world problems. In the appendix, the author includes examples of publicly available software and online data sets. This practical, up-to-date book focuses on the new requirements of the next generation of data mining. Although the concepts presented in the text are mainly about data streams, they also are valid for different areas of machine learning and data mining.

Calculus Connections

Mathematics for Middle School Teachers

Author: Asma Harcharras,Dorina Mitrea

Publisher: Prentice Hall

ISBN: N.A

Category: Mathematics

Page: 473

View: 403

DOWNLOAD NOW »

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.

The Future of Scientific Knowledge Discovery in Open Networked Environments:

Summary of a Workshop

Author: Board on Research Data and Information,Policy and Global Affairs,National Research Council

Publisher: National Academies Press

ISBN: 0309267919

Category: Science

Page: 185

View: 5846

DOWNLOAD NOW »

Digital technologies and networks are now part of everyday work in the sciences, and have enhanced access to and use of scientific data, information, and literature significantly. They offer the promise of accelerating the discovery and communication of knowledge, both within the scientific community and in the broader society, as scientific data and information are made openly available online. The focus of this project was on computer-mediated or computational scientific knowledge discovery, taken broadly as any research processes enabled by digital computing technologies. Such technologies may include data mining, information retrieval and extraction, artificial intelligence, distributed grid computing, and others. These technological capabilities support computer-mediated knowledge discovery, which some believe is a new paradigm in the conduct of research. The emphasis was primarily on digitally networked data, rather than on the scientific, technical, and medical literature. The meeting also focused mostly on the advantages of knowledge discovery in open networked environments, although some of the disadvantages were raised as well. The workshop brought together a set of stakeholders in this area for intensive and structured discussions. The purpose was not to make a final declaration about the directions that should be taken, but to further the examination of trends in computational knowledge discovery in the open networked environments, based on the following questions and tasks: 1. Opportunities and Benefits: What are the opportunities over the next 5 to 10 years associated with the use of computer-mediated scientific knowledge discovery across disciplines in the open online environment? What are the potential benefits to science and society of such techniques? 2. Techniques and Methods for Development and Study of Computer-mediated Scientific Knowledge Discovery: What are the techniques and methods used in government, academia, and industry to study and understand these processes, the validity and reliability of their results, and their impact inside and outside science? 3. Barriers: What are the major scientific, technological, institutional, sociological, and policy barriers to computer-mediated scientific knowledge discovery in the open online environment within the scientific community? What needs to be known and studied about each of these barriers to help achieve the opportunities for interdisciplinary science and complex problem solving? 4. Range of Options: Based on the results obtained in response to items 1-3, define a range of options that can be used by the sponsors of the project, as well as other similar organizations, to obtain and promote a better understanding of the computer-mediated scientific knowledge discovery processes and mechanisms for openly available data and information online across the scientific domains. The objective of defining these options is to improve the activities of the sponsors (and other similar organizations) and the activities of researchers that they fund externally in this emerging research area. The Future of Scientific Knowledge Discovery in Open Networked Environments: Summary of a Workshop summarizes the responses to these questions and tasks at hand.