Teaching Of Statistics And Computer Science

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Teaching Statistics

Author : Andrew Gelman
Publisher : OUP Oxford
ISBN 13 : 0191606995
Total Pages : 353 pages
Book Rating : 4.1/5 (916 download)

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Book Synopsis Teaching Statistics by : Andrew Gelman

Download or read book Teaching Statistics written by Andrew Gelman and published by OUP Oxford. This book was released on 2002-08-08 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Students in the sciences, economics, psychology, social sciences, and medicine take introductory statistics. Statistics is increasingly offered at the high school level as well. However, statistics can be notoriously difficult to teach as it is seen by many students as difficult and boring, if not irrelevant to their subject of choice. To help dispel these misconceptions, Gelman and Nolan have put together this fascinating and thought-provoking book. Based on years of teaching experience the book provides a wealth of demonstrations, examples and projects that involve active student participation. Part I of the book presents a large selection of activities for introductory statistics courses and combines chapters such as, 'First week of class', with exercises to break the ice and get students talking; then 'Descriptive statistics' , collecting and displaying data; then follows the traditional topics - linear regression, data collection, probability and inference. Part II gives tips on what does and what doesn't work in class: how to set up effective demonstrations and examples, how to encourage students to participate in class and work effectively in group projects. A sample course plan is provided. Part III presents material for more advanced courses on topics such as decision theory, Bayesian statistics and sampling.

Understanding and Learning Statistics by Computer

Author : Mark C. K. Yang
Publisher : World Scientific
ISBN 13 : 9789971500191
Total Pages : 218 pages
Book Rating : 4.5/5 (1 download)

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Book Synopsis Understanding and Learning Statistics by Computer by : Mark C. K. Yang

Download or read book Understanding and Learning Statistics by Computer written by Mark C. K. Yang and published by World Scientific. This book was released on 1986 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides an introduction to statistics for computer users or computer science undergraduates. The main emphasis here is on how to use the computer to understand statistics and to facilitate statistical computation. Since the Stress is on the basic concepts, the mathematics is kept as simple as possible. Programming exercises are included in every chapter which can be run on any present-day microcomputer. This book provides a prerequisite for more complicated statistical procedures or individual special applications.

The Linear Algebra a Beginning Graduate Student Ought to Know

Author : Jonathan S. Golan
Publisher : Springer Science & Business Media
ISBN 13 : 1402054955
Total Pages : 443 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis The Linear Algebra a Beginning Graduate Student Ought to Know by : Jonathan S. Golan

Download or read book The Linear Algebra a Beginning Graduate Student Ought to Know written by Jonathan S. Golan and published by Springer Science & Business Media. This book was released on 2007-04-05 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book rigorously deals with the abstract theory and, at the same time, devotes considerable space to the numerical and computational aspects of linear algebra. It features a large number of thumbnail portraits of researchers who have contributed to the development of linear algebra as we know it today and also includes over 1,000 exercises, many of which are very challenging. The book can be used as a self-study guide; a textbook for a course in advanced linear algebra, either at the upper-class undergraduate level or at the first-year graduate level; or as a reference book.

Probability and Statistics for Computer Science

Author : James L. Johnson
Publisher : John Wiley & Sons
ISBN 13 : 1118165969
Total Pages : 764 pages
Book Rating : 4.1/5 (181 download)

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Book Synopsis Probability and Statistics for Computer Science by : James L. Johnson

Download or read book Probability and Statistics for Computer Science written by James L. Johnson and published by John Wiley & Sons. This book was released on 2011-09-09 with total page 764 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive and thorough development of both probability and statistics for serious computer scientists; goal-oriented: "to present the mathematical analysis underlying probability results" Special emphases on simulation and discrete decision theory Mathematically-rich, but self-contained text, at a gentle pace Review of calculus and linear algebra in an appendix Mathematical interludes (in each chapter) which examine mathematical techniques in the context of probabilistic or statistical importance Numerous section exercises, summaries, historical notes, and Further Readings for reinforcement of content

Probability and Statistics for Computer Scientists, Second Edition

Author : Michael Baron
Publisher : CRC Press
ISBN 13 : 1439875901
Total Pages : 475 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Probability and Statistics for Computer Scientists, Second Edition by : Michael Baron

Download or read book Probability and Statistics for Computer Scientists, Second Edition written by Michael Baron and published by CRC Press. This book was released on 2013-08-05 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: Student-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling Tools Incorporating feedback from instructors and researchers who used the previous edition, Probability and Statistics for Computer Scientists, Second Edition helps students understand general methods of stochastic modeling, simulation, and data analysis; make optimal decisions under uncertainty; model and evaluate computer systems and networks; and prepare for advanced probability-based courses. Written in a lively style with simple language, this classroom-tested book can now be used in both one- and two-semester courses. New to the Second Edition Axiomatic introduction of probability Expanded coverage of statistical inference, including standard errors of estimates and their estimation, inference about variances, chi-square tests for independence and goodness of fit, nonparametric statistics, and bootstrap More exercises at the end of each chapter Additional MATLAB® codes, particularly new commands of the Statistics Toolbox In-Depth yet Accessible Treatment of Computer Science-Related Topics Starting with the fundamentals of probability, the text takes students through topics heavily featured in modern computer science, computer engineering, software engineering, and associated fields, such as computer simulations, Monte Carlo methods, stochastic processes, Markov chains, queuing theory, statistical inference, and regression. It also meets the requirements of the Accreditation Board for Engineering and Technology (ABET). Encourages Practical Implementation of Skills Using simple MATLAB commands (easily translatable to other computer languages), the book provides short programs for implementing the methods of probability and statistics as well as for visualizing randomness, the behavior of random variables and stochastic processes, convergence results, and Monte Carlo simulations. Preliminary knowledge of MATLAB is not required. Along with numerous computer science applications and worked examples, the text presents interesting facts and paradoxical statements. Each chapter concludes with a short summary and many exercises.

Bridging the Gap Between Common Core State Standards and Teaching Statistics

Author : Patrick Hopfensperger
Publisher :
ISBN 13 : 9780983937517
Total Pages : 272 pages
Book Rating : 4.9/5 (375 download)

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Book Synopsis Bridging the Gap Between Common Core State Standards and Teaching Statistics by : Patrick Hopfensperger

Download or read book Bridging the Gap Between Common Core State Standards and Teaching Statistics written by Patrick Hopfensperger and published by . This book was released on 2012 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt:

All of Statistics

Author : Larry Wasserman
Publisher : Springer Science & Business Media
ISBN 13 : 0387217363
Total Pages : 446 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis All of Statistics by : Larry Wasserman

Download or read book All of Statistics written by Larry Wasserman and published by Springer Science & Business Media. This book was released on 2013-12-11 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.

Data Science for Undergraduates

Author : National Academies of Sciences, Engineering, and Medicine
Publisher : National Academies Press
ISBN 13 : 0309475597
Total Pages : 139 pages
Book Rating : 4.3/5 (94 download)

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Book Synopsis Data Science for Undergraduates by : National Academies of Sciences, Engineering, and Medicine

Download or read book Data Science for Undergraduates written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2018-11-11 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent. Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field.

Best Practices in Teaching Statistics and Research Methods in the Behavioral Sciences

Author : Dana S. Dunn
Publisher : Routledge
ISBN 13 : 1135598304
Total Pages : 314 pages
Book Rating : 4.1/5 (355 download)

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Book Synopsis Best Practices in Teaching Statistics and Research Methods in the Behavioral Sciences by : Dana S. Dunn

Download or read book Best Practices in Teaching Statistics and Research Methods in the Behavioral Sciences written by Dana S. Dunn and published by Routledge. This book was released on 2007-03-27 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a showcase for "best practices" in teaching statistics and research methods in two- and four-year colleges and universities. A helpful resource for teaching introductory, intermediate, and advanced statistics and/or methods, the book features coverage of: ways to integrate these courses how to promote ethical conduct how to create writing intensive programs novel tools and activities to get students involved strategies for teaching online courses and computer applications guidance on how to create and maintain helpful web resources assessment advice to help demonstrate that students are learning tips on linking diversity to research methodology. This book appeals to veteran and novice educators and graduate students who teach research methods and/or statistics in psychology and other behavioral sciences and serves as an excellent resource in related faculty workshops. Downloadable resources with activities that readers can customize is included.

Introductory Statistics with R

Author : Peter Dalgaard
Publisher : Springer Science & Business Media
ISBN 13 : 0387790543
Total Pages : 370 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Introductory Statistics with R by : Peter Dalgaard

Download or read book Introductory Statistics with R written by Peter Dalgaard and published by Springer Science & Business Media. This book was released on 2008-06-27 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets. All examples are directly runnable and all graphics in the text are generated from the examples. The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis.

Communicating with Data

Author : Deborah Nolan
Publisher : Oxford University Press
ISBN 13 : 0192607502
Total Pages : 400 pages
Book Rating : 4.1/5 (926 download)

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Book Synopsis Communicating with Data by : Deborah Nolan

Download or read book Communicating with Data written by Deborah Nolan and published by Oxford University Press. This book was released on 2021-03-25 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Communication is a critical yet often overlooked part of data science. Communicating with Data aims to help students and researchers write about their insights in a way that is both compelling and faithful to the data. General advice on science writing is also provided, including how to distill findings into a story and organize and revise the story, and how to write clearly, concisely, and precisely. This is an excellent resource for students who want to learn how to write about scientific findings, and for instructors who are teaching a science course in communication or a course with a writing component. Communicating with Data consists of five parts. Part I helps the novice learn to write by reading the work of others. Part II delves into the specifics of how to describe data at a level appropriate for publication, create informative and effective visualizations, and communicate an analysis pipeline through well-written, reproducible code. Part III demonstrates how to reduce a data analysis to a compelling story and organize and write the first draft of a technical paper. Part IV addresses revision; this includes advice on writing about statistical findings in a clear and accurate way, general writing advice, and strategies for proof reading and revising. Part V offers advice about communication strategies beyond the page, which include giving talks, building a professional network, and participating in online communities. This book also provides 22 portfolio prompts that extend the guidance and examples in the earlier parts of the book and help writers build their portfolio of data communication.

Handbook for Teaching Statistics and Research Methods

Author : Mark E. Ware
Publisher : Psychology Press
ISBN 13 : 1317759354
Total Pages : 296 pages
Book Rating : 4.3/5 (177 download)

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Book Synopsis Handbook for Teaching Statistics and Research Methods by : Mark E. Ware

Download or read book Handbook for Teaching Statistics and Research Methods written by Mark E. Ware and published by Psychology Press. This book was released on 2013-11-26 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents a collection of articles selected from Teaching of Psychology, sponsored by APA Division 2. It contains the collective experience of teachers who have successfully dealt with students' statistics anxiety, resistance to conducting literature reviews, and related problems. For those who teach statistics or research methods courses to undergraduate or graduate students in psychology, education, and the social sciences, this book provides many innovative strategies for teaching a variety of methodological concepts and procedures in statistics and research methods courses.

The Basics of Data Literacy

Author : Michael Bowen
Publisher :
ISBN 13 : 9781938946035
Total Pages : 171 pages
Book Rating : 4.9/5 (46 download)

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Book Synopsis The Basics of Data Literacy by : Michael Bowen

Download or read book The Basics of Data Literacy written by Michael Bowen and published by . This book was released on 2014 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here's the ideal statistics book for teachers with no statistical background. Written in an informal style with easy-to-grasp examples, The Basics of Data Literacy teaches you how to help your students understand data. Then, in turn, they learn how to collect, summarize, and analyze statistics inside and outside the classroom. The books 10 succinct chapters provide an introduction to types of variables and data, ways to structure and interpret data tables, simple statistics, and survey basics from a student perspective. The appendices include hands-on activities tailored to middle and high school investigations. Because data are so central to many of the ideas in the Next Generation Science Standards, the ability to work with such information is an important science skill for both you and your students. This accessible book will help you get over feeling intimidated as your students learn to evaluate messy data on the Internet, in the news, and in future negotiations with car dealers and insurance agents.

Quality Research in Literacy and Science Education

Author : Mack C. Shelley
Publisher : Springer Science & Business Media
ISBN 13 : 1402084277
Total Pages : 667 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Quality Research in Literacy and Science Education by : Mack C. Shelley

Download or read book Quality Research in Literacy and Science Education written by Mack C. Shelley and published by Springer Science & Business Media. This book was released on 2008-12-30 with total page 667 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical models attempt to describe and quantify relationships between variables. In the models presented in this chapter, there is a response variable (sometimes called dependent variable) and at least one predictor variable (sometimes called independent or explanatory variable). When investigating a possible cause-and-effect type of relationship, the response variable is the putative effect and the predictors are the hypothesized causes. Typically, there is a main predictor variable of interest; other predictors in the model are called covariates. Unknown covariates or other independent variables not controlled in an experiment or analysis can affect the dependent or outcome variable and mislead the conclusions made from the inquiry (Bock, Velleman, & De Veaux, 2009). A p value (p) measures the statistical significance of the observed relationship; given the model, p is the probability that a relationship is seen by mere chance. The smaller the p value, the more confident we can be that the pattern seen in the data 2 is not random. In the type of models examined here, the R measures the prop- tion of the variation in the response variable that is explained by the predictors 2 specified in the model; if R is close to 1, then almost all the variation in the response variable has been explained. This measure is also known as the multiple correlation coefficient. Statistical studies can be grouped into two types: experimental and observational.

Probability, Statistics, and Queueing Theory

Author : Arnold O. Allen
Publisher : Gulf Professional Publishing
ISBN 13 : 9780120510511
Total Pages : 776 pages
Book Rating : 4.5/5 (15 download)

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Book Synopsis Probability, Statistics, and Queueing Theory by : Arnold O. Allen

Download or read book Probability, Statistics, and Queueing Theory written by Arnold O. Allen and published by Gulf Professional Publishing. This book was released on 1990-08-28 with total page 776 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a textbook on applied probability and statistics with computer science applications for students at the upper undergraduate level. It may also be used as a self study book for the practicing computer science professional. The successful first edition of this book proved extremely useful to students who need to use probability, statistics and queueing theory to solve problems in other fields, such as engineering, physics, operations research, and management science. The book has also been successfully used for courses in queueing theory for operations research students. This second edition includes a new chapter on regression as well as more than twice as many exercises at the end of each chapter. While the emphasis is the same as in the first edition, this new book makes more extensive use of available personal computer software, such as Minitab and Mathematica.

Probability and Statistics with Reliability, Queuing, and Computer Science Applications

Author : Kishor S. Trivedi
Publisher : John Wiley & Sons
ISBN 13 : 0471460818
Total Pages : 881 pages
Book Rating : 4.4/5 (714 download)

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Book Synopsis Probability and Statistics with Reliability, Queuing, and Computer Science Applications by : Kishor S. Trivedi

Download or read book Probability and Statistics with Reliability, Queuing, and Computer Science Applications written by Kishor S. Trivedi and published by John Wiley & Sons. This book was released on 2016-07-11 with total page 881 pages. Available in PDF, EPUB and Kindle. Book excerpt: An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications Second edition now also available in Paperback. This updated and revised edition of the popular classic first edition relates fundamental concepts in probability and statistics to the computer sciences and engineering. The author uses Markov chains and other statistical tools to illustrate processes in reliability of computer systems and networks, fault tolerance, and performance. This edition features an entirely new section on stochastic Petri nets—as well as new sections on system availability modeling, wireless system modeling, numerical solution techniques for Markov chains, and software reliability modeling, among other subjects. Extensive revisions take new developments in solution techniques and applications into account and bring this work totally up to date. It includes more than 200 worked examples and self-study exercises for each section. Probability and Statistics with Reliability, Queuing and Computer Science Applications, Second Edition offers a comprehensive introduction to probability, stochastic processes, and statistics for students of computer science, electrical and computer engineering, and applied mathematics. Its wealth of practical examples and up-to-date information makes it an excellent resource for practitioners as well. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

Modern Data Science with R

Author : Benjamin S. Baumer
Publisher : CRC Press
ISBN 13 : 0429575394
Total Pages : 830 pages
Book Rating : 4.4/5 (295 download)

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Book Synopsis Modern Data Science with R by : Benjamin S. Baumer

Download or read book Modern Data Science with R written by Benjamin S. Baumer and published by CRC Press. This book was released on 2021-03-31 with total page 830 pages. Available in PDF, EPUB and Kindle. Book excerpt: From a review of the first edition: "Modern Data Science with R... is rich with examples and is guided by a strong narrative voice. What’s more, it presents an organizing framework that makes a convincing argument that data science is a course distinct from applied statistics" (The American Statistician). Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world data problems. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling questions. The second edition is updated to reflect the growing influence of the tidyverse set of packages. All code in the book has been revised and styled to be more readable and easier to understand. New functionality from packages like sf, purrr, tidymodels, and tidytext is now integrated into the text. All chapters have been revised, and several have been split, re-organized, or re-imagined to meet the shifting landscape of best practice.