Reasoning With Data

Download Reasoning With Data full books in PDF, epub, and Kindle. Read online Reasoning With Data ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Reasoning with Data

Author : Jeffrey M. Stanton
Publisher : Guilford Publications
ISBN 13 : 1462530265
Total Pages : 336 pages
Book Rating : 4.4/5 (625 download)

DOWNLOAD NOW!

Book Synopsis Reasoning with Data by : Jeffrey M. Stanton

Download or read book Reasoning with Data written by Jeffrey M. Stanton and published by Guilford Publications. This book was released on 2017-05-22 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Engaging and accessible, this book teaches readers how to use inferential statistical thinking to check their assumptions, assess evidence about their beliefs, and avoid overinterpreting results that may look more promising than they really are. It provides step-by-step guidance for using both classical (frequentist) and Bayesian approaches to inference. Statistical techniques covered side by side from both frequentist and Bayesian approaches include hypothesis testing, replication, analysis of variance, calculation of effect sizes, regression, time series analysis, and more. Students also get a complete introduction to the open-source R programming language and its key packages. Throughout the text, simple commands in R demonstrate essential data analysis skills using real-data examples. The companion website provides annotated R code for the book's examples, in-class exercises, supplemental reading lists, and links to online videos, interactive materials, and other resources. ÿ Pedagogical Features *Playful, conversational style and gradual approach; suitable for students without strong math backgrounds. *End-of-chapter exercises based on real data supplied in the free R package. *Technical explanation and equation/output boxes. *Appendices on how to install R and work with the sample datasets.ÿ

Thinking Clearly with Data

Author : Ethan Bueno de Mesquita
Publisher : Princeton University Press
ISBN 13 : 0691215014
Total Pages : 400 pages
Book Rating : 4.6/5 (912 download)

DOWNLOAD NOW!

Book Synopsis Thinking Clearly with Data by : Ethan Bueno de Mesquita

Download or read book Thinking Clearly with Data written by Ethan Bueno de Mesquita and published by Princeton University Press. This book was released on 2021-11-16 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: An engaging introduction to data science that emphasizes critical thinking over statistical techniques An introduction to data science or statistics shouldn’t involve proving complex theorems or memorizing obscure terms and formulas, but that is exactly what most introductory quantitative textbooks emphasize. In contrast, Thinking Clearly with Data focuses, first and foremost, on critical thinking and conceptual understanding in order to teach students how to be better consumers and analysts of the kinds of quantitative information and arguments that they will encounter throughout their lives. Among much else, the book teaches how to assess whether an observed relationship in data reflects a genuine relationship in the world and, if so, whether it is causal; how to make the most informative comparisons for answering questions; what questions to ask others who are making arguments using quantitative evidence; which statistics are particularly informative or misleading; how quantitative evidence should and shouldn’t influence decision-making; and how to make better decisions by using moral values as well as data. Filled with real-world examples, the book shows how its thinking tools apply to problems in a wide variety of subjects, including elections, civil conflict, crime, terrorism, financial crises, health care, sports, music, and space travel. Above all else, Thinking Clearly with Data demonstrates why, despite the many benefits of our data-driven age, data can never be a substitute for thinking. An ideal textbook for introductory quantitative methods courses in data science, statistics, political science, economics, psychology, sociology, public policy, and other fields Introduces the basic toolkit of data analysis—including sampling, hypothesis testing, Bayesian inference, regression, experiments, instrumental variables, differences in differences, and regression discontinuity Uses real-world examples and data from a wide variety of subjects Includes practice questions and data exercises

Bayesian Reasoning In Data Analysis: A Critical Introduction

Author : Giulio D'agostini
Publisher : World Scientific
ISBN 13 : 9814486094
Total Pages : 351 pages
Book Rating : 4.8/5 (144 download)

DOWNLOAD NOW!

Book Synopsis Bayesian Reasoning In Data Analysis: A Critical Introduction by : Giulio D'agostini

Download or read book Bayesian Reasoning In Data Analysis: A Critical Introduction written by Giulio D'agostini and published by World Scientific. This book was released on 2003-06-13 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a multi-level introduction to Bayesian reasoning (as opposed to “conventional statistics”) and its applications to data analysis. The basic ideas of this “new” approach to the quantification of uncertainty are presented using examples from research and everyday life. Applications covered include: parametric inference; combination of results; treatment of uncertainty due to systematic errors and background; comparison of hypotheses; unfolding of experimental distributions; upper/lower bounds in frontier-type measurements. Approximate methods for routine use are derived and are shown often to coincide — under well-defined assumptions! — with “standard” methods, which can therefore be seen as special cases of the more general Bayesian methods. In dealing with uncertainty in measurements, modern metrological ideas are utilized, including the ISO classification of uncertainty into type A and type B. These are shown to fit well into the Bayesian framework.

Data Representations, Transformations, and Statistics for Visual Reasoning

Author : Ross Maciejewski
Publisher : Springer Nature
ISBN 13 : 3031025997
Total Pages : 75 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis Data Representations, Transformations, and Statistics for Visual Reasoning by : Ross Maciejewski

Download or read book Data Representations, Transformations, and Statistics for Visual Reasoning written by Ross Maciejewski and published by Springer Nature. This book was released on 2022-06-01 with total page 75 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analytical reasoning techniques are methods by which users explore their data to obtain insight and knowledge that can directly support situational awareness and decision making. Recently, the analytical reasoning process has been augmented through the use of interactive visual representations and tools which utilize cognitive, design and perceptual principles. These tools are commonly referred to as visual analytics tools, and the underlying methods and principles have roots in a variety of disciplines. This chapter provides an introduction to young researchers as an overview of common visual representations and statistical analysis methods utilized in a variety of visual analytics systems. The application and design of visualization and analytical algorithms are subject to design decisions, parameter choices, and many conflicting requirements. As such, this chapter attempts to provide an initial set of guidelines for the creation of the visual representation, including pitfalls and areas where the graphics can be enhanced through interactive exploration. Basic analytical methods are explored as a means of enhancing the visual analysis process, moving from visual analysis to visual analytics. Table of Contents: Data Types / Color Schemes / Data Preconditioning / Visual Representations and Analysis / Summary

Reasoning Techniques for the Web of Data

Author : A. Hogan
Publisher : IOS Press
ISBN 13 : 1614993831
Total Pages : 344 pages
Book Rating : 4.6/5 (149 download)

DOWNLOAD NOW!

Book Synopsis Reasoning Techniques for the Web of Data by : A. Hogan

Download or read book Reasoning Techniques for the Web of Data written by A. Hogan and published by IOS Press. This book was released on 2014-04-09 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Linked Data publishing has brought about a novel “Web of Data”: a wealth of diverse, interlinked, structured data published on the Web. These Linked Datasets are described using the Semantic Web standards and are openly available to all, produced by governments, businesses, communities and academia alike. However, the heterogeneity of such data – in terms of how resources are described and identified – poses major challenges to potential consumers. Herein, we examine use cases for pragmatic, lightweight reasoning techniques that leverage Web vocabularies (described in RDFS and OWL) to better integrate large scale, diverse, Linked Data corpora. We take a test corpus of 1.1 billion RDF statements collected from 4 million RDF Web documents and analyse the use of RDFS and OWL therein. We then detail and evaluate scalable and distributed techniques for applying rule-based materialisation to translate data between different vocabularies, and to resolve coreferent resources that talk about the same thing. We show how such techniques can be made robust in the face of noisy and often impudent Web data. We also examine a use case for incorporating a PagerRank-style algorithm to rank the trustworthiness of facts produced by reasoning, subsequently using those ranks to fix formal contradictions in the data. All of our methods are validated against our real world, large scale, open domain, Linked Data evaluation corpus.

Statistical Reasoning in Sports

Author : Josh Tabor
Publisher : Macmillan
ISBN 13 : 1429274379
Total Pages : 709 pages
Book Rating : 4.4/5 (292 download)

DOWNLOAD NOW!

Book Synopsis Statistical Reasoning in Sports by : Josh Tabor

Download or read book Statistical Reasoning in Sports written by Josh Tabor and published by Macmillan. This book was released on 2011-12-23 with total page 709 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offering a unique and powerful way to introduce the principles of statistical reasoning, Statistical Reasoning in Sports features engaging examples and a student-friendly approach. Starting from the very first chapter, students are able to ask questions, collect and analyze data, and draw conclusions using randomization tests. Is it harder to shoot free throws with distractions? We explore this question by designing an experiment, collecting the data, and using a hands-on simulation to analyze results. Completely covering the Common Core Standards for Probability and Statistics, Statistical Reasoning in Sports is an accessible and fun way to learn about statistics!

Thinking and Reasoning with Data and Chance

Author : Gail Burrill
Publisher : National Council of Teachers of English
ISBN 13 :
Total Pages : 530 pages
Book Rating : 4.F/5 ( download)

DOWNLOAD NOW!

Book Synopsis Thinking and Reasoning with Data and Chance by : Gail Burrill

Download or read book Thinking and Reasoning with Data and Chance written by Gail Burrill and published by National Council of Teachers of English. This book was released on 2006 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accompanying CD-ROM contains ... "support material for many of the articles, including lessons, software demonstrations, and even video clips of classrooms."--P. [4] of cover.

Learning From Data

Author : Arthur Glenberg
Publisher : Routledge
ISBN 13 : 1136676627
Total Pages : 666 pages
Book Rating : 4.1/5 (366 download)

DOWNLOAD NOW!

Book Synopsis Learning From Data by : Arthur Glenberg

Download or read book Learning From Data written by Arthur Glenberg and published by Routledge. This book was released on 2007-08-09 with total page 666 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learning from Data focuses on how to interpret psychological data and statistical results. The authors review the basics of statistical reasoning to helpstudents better understand relevant data that affecttheir everyday lives. Numerous examples based on current research and events are featured throughout.To facilitate learning, authors Glenberg and Andrzejewski: Devote extra attention to explaining the more difficult concepts and the logic behind them Use repetition to enhance students’ memories with multiple examples, reintroductions of the major concepts, and a focus on these concepts in the problems Employ a six-step procedure for describing all statistical tests from the simplest to the most complex Provide end-of-chapter tables to summarize the hypothesis testing procedures introduced Emphasizes how to choose the best procedure in the examples, problems and endpapers Focus on power with a separate chapter and power analyses procedures in each chapter Provide detailed explanations of factorial designs, interactions, and ANOVA to help students understand the statistics used in professional journal articles. The third edition has a user-friendly approach: Designed to be used seamlessly with Excel, all of the in-text analyses are conducted in Excel, while the book’s downloadable resources contain files for conducting analyses in Excel, as well as text files that can be analyzed in SPSS, SAS, and Systat Two large, real data sets integrated throughout illustrate important concepts Many new end-of-chapter problems (definitions, computational, and reasoning) and many more on the companion CD Online Instructor’s Resources includes answers to all the exercises in the book and multiple-choice test questions with answers Boxed media reports illustrate key concepts and their relevance to realworld issues The inclusion of effect size in all discussions of power accurately reflects the contemporary issues of power, effect size, and significance. Learning From Data, Third Edition is intended as a text for undergraduate or beginning graduate statistics courses in psychology, education, and other applied social and health sciences.

Introduction to Social Statistics

Author : Thomas Dietz
Publisher : John Wiley & Sons
ISBN 13 : 1405169028
Total Pages : 613 pages
Book Rating : 4.4/5 (51 download)

DOWNLOAD NOW!

Book Synopsis Introduction to Social Statistics by : Thomas Dietz

Download or read book Introduction to Social Statistics written by Thomas Dietz and published by John Wiley & Sons. This book was released on 2009-03-02 with total page 613 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Social Statistics is a basic statistics text with a focus on the use of models for thinking through statistical problems, an accessible and consistent structure with ongoing examples across chapters, and an emphasis on the tools most commonly used in contemporary research. Lively introductory textbook that uses three strategies to help students master statistics: use of models throughout; repetition with variation to underpin pedagogy; and emphasis on the tools most commonly used in contemporary research Demonstrates how more than one statistical method can be used to approach a research question Enhanced learning features include a ‘walk-through’ of statistical concepts, applications, features, advanced topics boxes, and a ‘What Have We Learned’ section at the end of each chapter Supported by a website containing instructor materials including chapter-by-chapter PowerPoint slides, answers to exercises, and an instructor guide Visit www.wiley.com/go/dietz for additional student and instructor resources.

Bayesian Logical Data Analysis for the Physical Sciences

Author : Phil Gregory
Publisher : Cambridge University Press
ISBN 13 : 113944428X
Total Pages : 498 pages
Book Rating : 4.1/5 (394 download)

DOWNLOAD NOW!

Book Synopsis Bayesian Logical Data Analysis for the Physical Sciences by : Phil Gregory

Download or read book Bayesian Logical Data Analysis for the Physical Sciences written by Phil Gregory and published by Cambridge University Press. This book was released on 2005-04-14 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing hypotheses of interest, on the basis of the current state of knowledge. By incorporating relevant prior information, it can sometimes improve model parameter estimates by many orders of magnitude. This book provides a clear exposition of the underlying concepts with many worked examples and problem sets. It also discusses implementation, including an introduction to Markov chain Monte-Carlo integration and linear and nonlinear model fitting. Particularly extensive coverage of spectral analysis (detecting and measuring periodic signals) includes a self-contained introduction to Fourier and discrete Fourier methods. There is a chapter devoted to Bayesian inference with Poisson sampling, and three chapters on frequentist methods help to bridge the gap between the frequentist and Bayesian approaches. Supporting Mathematica® notebooks with solutions to selected problems, additional worked examples, and a Mathematica tutorial are available at www.cambridge.org/9780521150125.

The Challenge of Developing Statistical Literacy, Reasoning and Thinking

Author : Dani Ben-Zvi
Publisher : Springer Science & Business Media
ISBN 13 : 1402022786
Total Pages : 423 pages
Book Rating : 4.4/5 (2 download)

DOWNLOAD NOW!

Book Synopsis The Challenge of Developing Statistical Literacy, Reasoning and Thinking by : Dani Ben-Zvi

Download or read book The Challenge of Developing Statistical Literacy, Reasoning and Thinking written by Dani Ben-Zvi and published by Springer Science & Business Media. This book was released on 2006-02-23 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unique in that it collects, presents, and synthesizes cutting edge research on different aspects of statistical reasoning and applies this research to the teaching of statistics to students at all educational levels, this volume will prove of great value to mathematics and statistics education researchers, statistics educators, statisticians, cognitive psychologists, mathematics teachers, mathematics and statistics curriculum developers, and quantitative literacy experts in education and government.

Data Science in R

Author : Deborah Nolan
Publisher : CRC Press
ISBN 13 : 1482234823
Total Pages : 533 pages
Book Rating : 4.4/5 (822 download)

DOWNLOAD NOW!

Book Synopsis Data Science in R by : Deborah Nolan

Download or read book Data Science in R written by Deborah Nolan and published by CRC Press. This book was released on 2015-04-21 with total page 533 pages. Available in PDF, EPUB and Kindle. Book excerpt: Effectively Access, Transform, Manipulate, Visualize, and Reason about Data and ComputationData Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving illustrates the details involved in solving real computational problems encountered in data analysis. It reveals the dynamic and iterative process by which data analysts

Research on Reasoning with Data and Statistical Thinking: International Perspectives

Author : Gail F. Burrill
Publisher : Springer Nature
ISBN 13 : 3031294599
Total Pages : 375 pages
Book Rating : 4.0/5 (312 download)

DOWNLOAD NOW!

Book Synopsis Research on Reasoning with Data and Statistical Thinking: International Perspectives by : Gail F. Burrill

Download or read book Research on Reasoning with Data and Statistical Thinking: International Perspectives written by Gail F. Burrill and published by Springer Nature. This book was released on 2023-07-21 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is derived from selected papers from the Fourteenth International Congress on Mathematical Education Topic Study Group 12, Teaching and Learning Statistics. It describes recent research on curriculum, pedagogy and outreach initiatives from countries as diverse as Brazil, Chile, Columbia, Denmark, Germany, the Netherlands, Spain, Sweden, Thailand, Turkey, the United Kingdom, and the United States. The book has a focus on the use of data in the teaching and learning of statistics across grade levels and begins with an overview of the status of statistics education and the use of data from seven different countries across the continents and the link between research and practice in those countries. Because it contains specific examples of the research, for example, on the ways children learn, the choice and implementation of tasks, or the role of informal inference, the book will be a great resource to those interested and involved in the teaching of statistics, curriculum developers, and statistics education researchers.

Statistical Reasoning with Imprecise Probabilities

Author : Peter Walley
Publisher : Chapman and Hall/CRC
ISBN 13 :
Total Pages : 728 pages
Book Rating : 4.:/5 (319 download)

DOWNLOAD NOW!

Book Synopsis Statistical Reasoning with Imprecise Probabilities by : Peter Walley

Download or read book Statistical Reasoning with Imprecise Probabilities written by Peter Walley and published by Chapman and Hall/CRC. This book was released on 1991 with total page 728 pages. Available in PDF, EPUB and Kindle. Book excerpt: An examination of topics involved in statistical reasoning with imprecise probabilities. The book discusses assessment and elicitation, extensions, envelopes and decisions, the importance of imprecision, conditional previsions and coherent statistical models.

Rough Sets

Author : Z. Pawlak
Publisher : Springer Science & Business Media
ISBN 13 : 9401135347
Total Pages : 247 pages
Book Rating : 4.4/5 (11 download)

DOWNLOAD NOW!

Book Synopsis Rough Sets by : Z. Pawlak

Download or read book Rough Sets written by Z. Pawlak and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: To-date computers are supposed to store and exploit knowledge. At least that is one of the aims of research fields such as Artificial Intelligence and Information Systems. However, the problem is to understand what knowledge means, to find ways of representing knowledge, and to specify automated machineries that can extract useful information from stored knowledge. Knowledge is something people have in their mind, and which they can express through natural language. Knowl edge is acquired not only from books, but also from observations made during experiments; in other words, from data. Changing data into knowledge is not a straightforward task. A set of data is generally disorganized, contains useless details, although it can be incomplete. Knowledge is just the opposite: organized (e.g. laying bare dependencies, or classifications), but expressed by means of a poorer language, i.e. pervaded by imprecision or even vagueness, and assuming a level of granularity. One may say that knowledge is summarized and organized data - at least the kind of knowledge that computers can store.

Statistical Foundations, Reasoning and Inference

Author : Göran Kauermann
Publisher :
ISBN 13 : 9783030698287
Total Pages : 0 pages
Book Rating : 4.6/5 (982 download)

DOWNLOAD NOW!

Book Synopsis Statistical Foundations, Reasoning and Inference by : Göran Kauermann

Download or read book Statistical Foundations, Reasoning and Inference written by Göran Kauermann and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics and data science. The topics covered include likelihood-based inference, Bayesian statistics, regression, statistical tests and the quantification of uncertainty. Moreover, the book addresses statistical ideas that are useful in modern data analytics, including bootstrapping, modeling of multivariate distributions, missing data analysis, causality as well as principles of experimental design. The textbook includes sufficient material for a two-semester course and is intended for master's students in data science, statistics and computer science with a rudimentary grasp of probability theory. It will also be useful for data science practitioners who want to strengthen their statistics skills.

Learning from Data

Author : Beth Haines
Publisher : Psychology Press
ISBN 13 : 9780805817850
Total Pages : 552 pages
Book Rating : 4.8/5 (178 download)

DOWNLOAD NOW!

Book Synopsis Learning from Data by : Beth Haines

Download or read book Learning from Data written by Beth Haines and published by Psychology Press. This book was released on 1996 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learning from Datafocuses on how to interpret psychological data and statistical results. The authorsâ€™ review the basics of statistical reasoning to help students better understand relevant data that affect their everyday lives. Numerous examples based on current research and events are featured throughout. To facilitate learning authors Glenberg and Andrzejewski: Devote extra attention to explaining the more difficult concepts and the logic behind them. Use repetition to enhance studentsâ€™ memory with multiple examples, reintroductions of the major concepts, and a focus on these concepts in the problems. Employ a six-step procedure for describing all statistical tests from the simplest to the most complex. Provide end of chapter tables to summarize the hypothesis testing procedures introduced. Emphasize how to choose the best procedure, with a discussion of procedure choice in the examples, problems that require choosing the procedure, and endpapers that provide guidelines for choosing procedures. Focus on power with a separate chapter and power analyses procedures in each chapter. Discuss the rationale for why emphasizing random sampling from populations is emphasized in the classroom but not in actual experiments. Provide detailed explanations of factorial designs, interactions, and ANOVA to help students understand the statistics used in professional journal articles. The new edition features a more user-friendly approach: Designed to be used seamlessly with Excel, all of the in-text analyses are conducted in Excel, while the book's CD contains files for conducting analyses in Excel, as well as text files that can be analyzed in SPSS, SAS, and Systat. Two large, real data sets integrated throughoutâ€”one focusing on the effectiveness of Zyban and gum on smoking and the other on the effects of children on marriage