OpenIntro Statistics

Author: David Diez,Christopher Barr,Mine Çetinkaya-Rundel

Publisher: N.A

ISBN: 9781943450046

Category:

Page: N.A

View: 1334

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The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. We feature real data whenever possible, and files for the entire textbook are freely available at openintro.org. Visit our website, openintro.org. We provide free videos, statistical software labs, lecture slides, course management tools, and many other helpful resources.

OpenIntro Statistics

Author: David Diez,Christopher Barr,Mine Çetinkaya-Rundel

Publisher: N.A

ISBN: 9781943450039

Category:

Page: N.A

View: 6612

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The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. We feature real data whenever possible, and files for the entire textbook are freely available at openintro.org. Visit our website, openintro.org. We provide free videos, statistical software labs, lecture slides, course management tools, and many other helpful resources.

An R and S-Plus® Companion to Multivariate Analysis

Author: Brian S. Everitt

Publisher: Springer Science & Business Media

ISBN: 1846281245

Category: Mathematics

Page: 221

View: 680

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Applied statisticians often need to perform analyses of multivariate data; for these they will typically use one of the statistical software packages, S-Plus or R. This book sets out how to use these packages for these analyses in a concise and easy-to-use way, and will save users having to buy two books for the job. The author is well-known for this kind of book, and so buyers will trust that he’s got it right.

Introduction to Statistical Data Analysis for the Life Sciences, Second Edition

Author: Claus Thorn Ekstrom,Helle Sørensen

Publisher: CRC Press

ISBN: 1482238942

Category: Mathematics

Page: 526

View: 6395

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A Hands-On Approach to Teaching Introductory Statistics Expanded with over 100 more pages, Introduction to Statistical Data Analysis for the Life Sciences, Second Edition presents the right balance of data examples, statistical theory, and computing to teach introductory statistics to students in the life sciences. This popular textbook covers the mathematics underlying classical statistical analysis, the modeling aspects of statistical analysis and the biological interpretation of results, and the application of statistical software in analyzing real-world problems and datasets. New to the Second Edition A new chapter on non-linear regression models A new chapter that contains examples of complete data analyses, illustrating how a full-fledged statistical analysis is undertaken Additional exercises in most chapters A summary of statistical formulas related to the specific designs used to teach the statistical concepts This text provides a computational toolbox that enables students to analyze real datasets and gain the confidence and skills to undertake more sophisticated analyses. Although accessible with any statistical software, the text encourages a reliance on R. For those new to R, an introduction to the software is available in an appendix. The book also includes end-of-chapter exercises as well as an entire chapter of case exercises that help students apply their knowledge to larger datasets and learn more about approaches specific to the life sciences.

Introduction to Probability

Author: Charles Miller Grinstead,James Laurie Snell

Publisher: American Mathematical Soc.

ISBN: 0821894145

Category: Probabilities

Page: 510

View: 7033

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This text is designed for an introductory probability course at the university level for sophomores, juniors, and seniors in mathematics, physical and social sciences, engineering, and computer science. It presents a thorough treatment of ideas and techniques necessary for a firm understanding of the subject. The text is also recommended for use in discrete probability courses. The material is organized so that the discrete and continuous probability discussions are presented in a separate, but parallel, manner. This organization does not emphasize an overly rigorous or formal view of probability and therefore offers some strong pedagogical value. Hence, the discrete discussions can sometimes serve to motivate the more abstract continuous probability discussions. Features: Key ideas are developed in a somewhat leisurely style, providing a variety of interesting applications to probability and showing some nonintuitive ideas. Over 600 exercises provide the opportunity for practicing skills and developing a sound understanding of ideas. Numerous historical comments deal with the development of discrete probability. The text includes many computer programs that illustrate the algorithms or the methods of computation for important problems. The book is a beautiful introduction to probability theory at the beginning level. The book contains a lot of examples and an easy development of theory without any sacrifice of rigor, keeping the abstraction to a minimal level. It is indeed a valuable addition to the study of probability theory. --Zentralblatt MATH

The Book of R

A First Course in Programming and Statistics

Author: Tilman M. Davies

Publisher: No Starch Press

ISBN: 1593277792

Category: Computers

Page: 832

View: 3713

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The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.

Introductory Statistics

Author: Sheldon M. Ross

Publisher: Academic Press

ISBN: 012804361X

Category: Mathematics

Page: 828

View: 1966

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Introductory Statistics, Fourth Edition, reviews statistical concepts and techniques in a manner that will teach students not only how and when to utilize the statistical procedures developed, but also how to understand why these procedures should be used. The text's main merits are the clarity of presentation, contemporary examples and applications from diverse areas, an explanation of intuition, and the ideas behind the statistical methods. Concepts are motivated, illustrated, and explained in a way that attempts to increase one's intuition. To quote from the preface, it is only when a student develops a feel or intuition for statistics that she or he is really on the path toward making sense of data. Ross achieves this goal through a coherent mix of mathematical analysis, intuitive discussions, and examples. Applications and examples refer to real-world issues, such as gun control, stock price models, health issues, driving age limits, school admission ages, use of helmets, sports, scientific fraud, and many others. Examples relating to data mining techniques using the number of Google queries or Twitter tweets are also considered. For this fourth edition, new topical coverage includes sections on Pareto distribution and the 80-20 rule, Benford's law, added material on odds and joint distributions and correlation, logistic regression, A-B testing, and more modern (big data) examples and exercises. Includes new section on Pareto distribution and the 80-20 rule, Benford’s law, odds, joint distribution and correlation, logistic regression, A-B testing, and examples from the world of analytics and big data Comprehensive edition that includes the most commonly used statistical software packages (SAS, SPSS, Minitab), ISM, SSM, and an online graphing calculator manual Presents a unique, historical perspective, profiling prominent statisticians and historical events to motivate learning by including interest and context Provides exercises and examples that help guide the student towards indpendent learning using real issues and real data, e.g. stock price models, health issues, gender issues, sports, and scientific fraud

Introduction to Probability and Statistics

Author: William Mendenhall,Robert J. Beaver,Barbara M. Beaver

Publisher: Cengage Learning

ISBN: 1133711677

Category: Mathematics

Page: 744

View: 8514

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Used by hundreds of thousands of students since its first edition, INTRODUCTION TO PROBABILITY AND STATISTICS, Fourteenth Edition, continues to blend the best of its proven, error-free coverage with new innovations. Written for the higher end of the traditional introductory statistics market, the book takes advantage of modern technology--including computational software and interactive visual tools--to facilitate statistical reasoning as well as the interpretation of statistical results. In addition to showing how to apply statistical procedures, the authors explain how to describe real sets of data meaningfully, what the statistical tests mean in terms of their practical applications, how to evaluate the validity of the assumptions behind statistical tests, and what to do when statistical assumptions have been violated. The new edition retains the statistical integrity, examples, exercises, and exposition that have made this text a market leader--and builds upon this tradition of excellence with new technology integration. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Mathematical Statistics and Data Analysis

Author: John A. Rice

Publisher: Cengage Learning

ISBN: 0534399428

Category: Mathematics

Page: 688

View: 8407

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This is the first text in a generation to re-examine the purpose of the mathematical statistics course. The book's approach interweaves traditional topics with data analysis and reflects the use of the computer with close ties to the practice of statistics. The author stresses analysis of data, examines real problems with real data, and motivates the theory. The book's descriptive statistics, graphical displays, and realistic applications stand in strong contrast to traditional texts that are set in abstract settings. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Special Relativity

Author: Thomas M. Helliwell

Publisher: Univ Science Books

ISBN: N.A

Category: Science

Page: 305

View: 8433

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Written in a clear, informal style, this text explores the most accessible of the 20th century revolutions in physics. It allows readers to build up physical intuition for what is going on, before presenting concise mathematical descriptions. It contains many applications and numerous illustrations, examples and problems.

Think Bayes

Author: Allen Downey

Publisher: "O'Reilly Media, Inc."

ISBN: 1491945443

Category: Computers

Page: 210

View: 5166

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If you know how to program with Python and also know a little about probability, you’re ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical notation, and use discrete probability distributions instead of continuous mathematics. Once you get the math out of the way, the Bayesian fundamentals will become clearer, and you’ll begin to apply these techniques to real-world problems. Bayesian statistical methods are becoming more common and more important, but not many resources are available to help beginners. Based on undergraduate classes taught by author Allen Downey, this book’s computational approach helps you get a solid start. Use your existing programming skills to learn and understand Bayesian statistics Work with problems involving estimation, prediction, decision analysis, evidence, and hypothesis testing Get started with simple examples, using coins, M&Ms, Dungeons & Dragons dice, paintball, and hockey Learn computational methods for solving real-world problems, such as interpreting SAT scores, simulating kidney tumors, and modeling the human microbiome.

Data-Enhanced Leadership

Author: Alan M. Blankstein,Paul D. Houston,Robert W. Cole

Publisher: Corwin Press

ISBN: 1452294488

Category: Education

Page: 168

View: 2090

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This compact volume combines research, practice, and innovative thinking to illustrate how strategic application of data enhances leadership practices and significantly improves curriculum, instruction, and schoolwide performance.

Statistics for the Behavioral Sciences

Author: Gregory J. Privitera

Publisher: SAGE Publications

ISBN: 1506386237

Category: Psychology

Page: 816

View: 8875

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The engaging Third Edition of Statistics for the Behavioral Sciences shows students that statistics can be understandable, interesting, and relevant to their daily lives. Using a conversational tone, award-winning teacher and author Gregory J. Privitera speaks to the reader as researcher when covering statistical theory, computation, and application. Robust pedagogy allows students to continually check their comprehension and hone their skills when working through carefully developed problems and exercises that include current research and seamless integration of SPSS. This edition will not only prepare students to be lab-ready, but also give them the confidence to use statistics to summarize data and make decisions about behavior.

Introductory Statistics

Author: Barbara Illowsky,Susan Dean

Publisher: N.A

ISBN: 9789888407309

Category: Education

Page: 906

View: 546

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Introductory Statistics is designed for the one-semester, introduction to statistics course and is geared toward students majoring in fields other than math or engineering. This text assumes students have been exposed to intermediate algebra, and it focuses on the applications of statistical knowledge rather than the theory behind it. The foundation of this textbook is Collaborative Statistics, by Barbara Illowsky and Susan Dean. Additional topics, examples, and ample opportunities for practice have been added to each chapter. The development choices for this textbook were made with the guidance of many faculty members who are deeply involved in teaching this course. These choices led to innovations in art, terminology, and practical applications, all with a goal of increasing relevance and accessibility for students. We strove to make the discipline meaningful, so that students can draw from it a working knowledge that will enrich their future studies and help them make sense of the world around them. Coverage and Scope Chapter 1 Sampling and Data Chapter 2 Descriptive Statistics Chapter 3 Probability Topics Chapter 4 Discrete Random Variables Chapter 5 Continuous Random Variables Chapter 6 The Normal Distribution Chapter 7 The Central Limit Theorem Chapter 8 Confidence Intervals Chapter 9 Hypothesis Testing with One Sample Chapter 10 Hypothesis Testing with Two Samples Chapter 11 The Chi-Square Distribution Chapter 12 Linear Regression and Correlation Chapter 13 F Distribution and One-Way ANOVA

Human Resource Strategy

Formulation, Implementation, and Impact

Author: Peter A. Bamberger,Michal Biron,Ilan Meshoulam

Publisher: Routledge

ISBN: 1135122253

Category: Business & Economics

Page: 326

View: 9868

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What is human resource strategy? How are human resources strategies formulated and how can we explain the variance between what is espoused and what is actually implemented? What impact – if any – does human resource strategy have on the organization’s "bottom line," and how can this impact be explained? Is there one best HR strategy for all firms, or is the impact of HR strategy on performance contingent on some set of organizational, technological or environmental factors? Human Resource Strategy, 2nd edition, provides an overview of the academic and practitioner responses to these and other questions. Applying an integrative framework, the authors review 30 years’ worth of empirical and theoretical research in an attempt to reconcile often-conflicting conceptual models and competing empirical results. Complex theoretical models and scientific findings are presented in an accessible and relevant way, in the context of the strategic decisions that executives are forced to make on a regular basis. This new edition features an updated literature review, coverage of the latest challenges to HR strategy, new mini-cases, discussion questions, additional examples, and an emphasis on the strategic implications of the research, making it an ideal resource for students and practitioners alike.

Brief Calculus for the Business, Social, and Life Sciences

Author: Bill Armstrong,Don Davis

Publisher: Jones & Bartlett Publishers

ISBN: 0763793299

Category: Mathematics

Page: N.A

View: 4355

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Designed for economics, business, or social or behavioral science majors in a one- or two-term course, Brief Calculus for the Business, Social, and Life Sciences presents mathematics in a clear and accessible language. Engaging, real-world examples and real data applications make calculus relevant, and the easy-to-read conversational style of the text evokes the one-on-one communication of a personalized tutorial session without sacrificing depth of coverage or intellectual rigor. The revised and updated Third Edition of this popular text includes a new, four-step problem-solving method that allows students to independently find solutions to a broad spectrum of problem sets. Rich in pedagogical features, this text includes comprehensive exercise sets, chapter openers that outline key concepts for each chapter, and Flashback features that revisit and reinforce content from previous chapters. The Third Edition contains all-new exercises, updated real-world data for modeling applications, and Section Objectives that provide students with a clear understanding of learning goals for each section. The text is packaged with a full ancillary suite of instructor resources, including a test bank, lecture outlines in PowerPoint format, WebAssign, and a Complete Solutions Manual; additional student resources include a Student Solutions Manual and access to the student companion website. Brief Calculus for the Business, Social, and Life Sciences is a comprehensive, student-friendly text that will gently push students to new levels of independent problem-solving. Key features of the new Third Edition include: Optional highlighted Technology Option sections that point out how solutions can be found using a graphing calculator From Your Toolbox feature that reinforces previously introduced material Real data applications, fully revised and updated for the Third Edition, that keep problems relevant and interesting Comprehensive exercise sets, including Concept and Writing Exercises, Vocabulary Exercises, and Application Exercises Clearly defined four-step problem-solving method new to the Third Edition User-friendly, conversational approach that mimics the style of an individualized tutorial session Chapter Openers and Section Objectives that clearly outline key concepts for each chapter and section Section Projects that encourage further study, reflection, and independent research A full suite of ancillary student and instructor resources"