Author: Michael O. FinkelsteinPublish On: 2012-12-06

Hoel, Paul G., Elementary Statistics, 4th ed., John Wiley, 1976. Mendenhall, William, Introduction to Probability and Statistics, 6th ed., Duxbury Press, 1983. Mosteller, Frederick, Robert E.K. Rourke, and George B. Thomas, Jr., ...

Author: Michael O. Finkelstein

Publisher: Springer Science & Business Media

ISBN: 9781461233282

Category: Social Science

Page: 608

View: 641

Statistics for Lawyers presents the science of statistics in action at the cutting edge of legal problems. A series of more than 90 case studies, drawn principally from actual litigation, have been selected to illustrate important areas of the law in which statistics has played a role and to demonstrate a variety of statistical tools. Some case studies raise legal issues that are being intensely debated and lie at the edge of the law. Of particular note are problems involving toxic torts, employment discrimination, stock market manipulation, paternity, tax legislation, and drug testing. The case studies are presented in the form of legal/statistical puzzles to challenge the reader and focus discussion on the legal implications of statistical findings. The techniques range from simple averaging for the estimation of thefts from parking meters to complex logistic regression models for the demonstration of discrimination in the death penalty. Excerpts of data allow the reader to compute statistical results and an appendix contains the authors' calculations.

Hájek, J., Šidák, Z., and Sen, P. K. (1999), Theory of Rank Tests, 2nd ed., Academic Press, San Diego. ... Venables, W. N. and Ripley, B. D. (2002), Modern Applied Statistics with S, 4th ed., Springer-Verlag, New York.

Author: Peter Dalgaard

Publisher: Springer Science & Business Media

ISBN: 9780387226323

Category: Mathematics

Page: 267

View: 262

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.

Introduction As authors of this book , we feel it is important to understand our goal in providing this supplement to Professor Johnson's Elementary Statistics , 4th Edition . Maybe the best way to explain our reasons for writing this ...

Educational Research : An introduction . ( 6th ed . ) . New York : Longman . Huck , S. K. ( 2004 ) . Reading statistics and research ( 4th ed . ) . Boston : Allyn & Bacon . Jaeger , R. M. ( 1990 ) . Statistics : A spectator sport .

Author: W. Paul Vogt

Publisher: SAGE

ISBN: 0761988556

Category: Social Science

Page: 355

View: 828

The Third Edition of the Dictionary of Statistics & Methodology: A Nontechnical Guide for the Social Sciences is THE sourcebook of simple definitions and explanations of statistical and statistics-related concepts. Since the publication of the bestselling Second Edition, author W. Paul Vogt has examined relevant literature in the social sciences to keep readers alert to the appearance of new methods, new language, and newly popular terms. The Third Edition has been thoroughly revised and expanded, with 400 additional definitions and illustrations compiled from readers' requests and suggestions!

Use and Interpretation, Fourth Edition Nancy L. Leech, Karen C. Barrett, George A. Morgan. To make the text more readable, we have chosen not to cite many ... (2011), IBM SPSS for Introductory Statistics: Use and Interpretation (4th ed.) ...

Author: Nancy L. Leech

Publisher: Routledge

ISBN: 9781136760280

Category: Education

Page: 312

View: 433

Designed to help readers analyze and interpret research data using IBM SPSS, this user-friendly book shows readers how to choose the appropriate statistic based on the design, perform intermediate statistics, including multivariate statistics, interpret output, and write about the results. The book reviews research designs and how to assess the accuracy and reliability of data: whether data meet the assumptions of statistical tests; how to calculate and interpret effect sizes for intermediate statistics, including odds ratios for logistic and discriminant analyses; how to compute and interpret post-hoc power; and an overview of basic statistics for those who need a review. Unique chapters on multilevel linear modeling, multivariate analysis of variance (MANOVA), assessing reliability of data, and factor analysis are provided. SPSS syntax, along with the output, is included for those who prefer this format. The new edition features: IBM SPSS version 19; although the book can be used with most older and newer versions expanded discussion of assumptions and effect size measures in several chapters expanded discussion of multilevel modeling expansion of other useful SPSS functions in Appendix A examples that meet the new formatting guidelines in the 6th edition of the APA Publication Manual (2010) flowcharts and tables to help select the appropriate statistic and interpret statistical significance and effect sizes multiple realistic data sets available on the website used to solve the chapter problems password protected Instructor's Resource materials with PowerPoint slides, answers to interpretation questions and extra SPSS problems, and chapter outlines and study guides. IBM SPSS for Intermediate Statistics, Fourth Edition provides helpful teaching tools: all of the key SPSS windows needed to perform the analyses outputs with call-out boxes to highlight key points interpretation sections and questions to help students better understand and interpret the output extra problems using multiple realistic data sets for practice in conducting analyses using intermediate statistics helpful appendices on how to get started with SPSS, writing research questions, and review of basic statistics. An ideal supplement for courses in either intermediate/advanced statistics or research methods taught in departments of psychology, education, and other social and health sciences, this book is also appreciated by researchers in these areas looking for a handy reference for SPSS.

A humorous, accessible introduction to SPSS, one of the most widely used statistics packages. Hays, W. L. (1988). Statistics (4th edition). New York: Holt, Rinehart & Winston. A classic statistics reference book. Hogg, R.V. and Tanis, ...

Author: Rugg, Gordon

Publisher: McGraw-Hill Education (UK)

ISBN: 9780335222186

Category: Education

Page: 137

View: 969

An introduction to statistics covers the concepts measurement theory, descriptive statistics, knowlege reprensentation, probability theory, correlations, and parametric statistics.

[Dev] R. Devaney, An Introduction to Chaotic Dynamical Systems, 2nd edition, Westview Press, Cambridge, MA, 2003. [DVB] R. De Veaux, P. Velleman, and D. Bock, Intro Stats, 4th edition, Pearson Press, Boston, MA, ...

Author: Steven J. Miller

Publisher: Princeton University Press

ISBN: 9780691149554

Category: Mathematics

Page: 752

View: 527

The essential lifesaver for students who want to master probability For students learning probability, its numerous applications, techniques, and methods can seem intimidating and overwhelming. That's where The Probability Lifesaver steps in. Designed to serve as a complete stand-alone introduction to the subject or as a supplement for a course, this accessible and user-friendly study guide helps students comfortably navigate probability's terrain and achieve positive results. The Probability Lifesaver is based on a successful course that Steven Miller has taught at Brown University, Mount Holyoke College, and Williams College. With a relaxed and informal style, Miller presents the math with thorough reviews of prerequisite materials, worked-out problems of varying difficulty, and proofs. He explores a topic first to build intuition, and only after that does he dive into technical details. Coverage of topics is comprehensive, and materials are repeated for reinforcement—both in the guide and on the book's website. An appendix goes over proof techniques, and video lectures of the course are available online. Students using this book should have some familiarity with algebra and precalculus. The Probability Lifesaver not only enables students to survive probability but also to achieve mastery of the subject for use in future courses. A helpful introduction to probability or a perfect supplement for a course Numerous worked-out examples Lectures based on the chapters are available free online Intuition of problems emphasized first, then technical proofs given Appendixes review proof techniques Relaxed, conversational approach

The other two are : Introduction to Statistics in Psychology ( 2008 ) ( 4th edition ) ( Pearson Education : Harlow ) : This is a thorough introduction to statistics for all students . It consists of a basic introduction to key ...

Author: Dennis Howitt

Publisher: Pearson Education

ISBN: 0132051648

Category: Psychology

Page: 377

View: 305

Introduction to SPSS in Psychology 4/e, makes using SPSS for the analysis of data quick and simple. This student-friendly text offers the most comprehensive coverage of statistical techniques and how SPSS can handle and manipulate all kinds of data. The fourth edition provides new and extended coverage of what needs to be known about each statistical and data analysis procedure. The user is given a step-by-step guide through what kinds of data to enter and how; the SPSS steps needed to complete the analysis; and how to understand and write-up the results of the analysis. In no time, users will gain confidence that they understand a full range of statistical techniques and how to use them in practice. This book is accompanied by a CD containing datasets, worked examples and exercises to allow practice and revision of techniques covered in the book.

Use and Interpretation, Fourth Edition George A. Morgan, Nancy L. Leech, Gene W. Gloeckner, Karen C. Barrett. Selection of an appropriate statistic. As you can see from Table 6.2, the second research question should be answered with a ...

Author: George A. Morgan

Publisher: Taylor & Francis

ISBN: 9781136909443

Category: Education

Page: 243

View: 350

"Designed to help students analyze and interpret research data using IBM SPSS, this book describes the use of statistics in user-friendly, non-technical language to show readers how to choose the appropriate statistic based on the design, interpret output, and write about the results. The authors prepare readers for all of the steps in the research process, from design and data collection, to writing about the results. Discussions of writing about outputs, data entry and checking, reliability assessment, testing assumptions, and computing descriptive and inferential parametric and nonparametric statistics are included. SPSS syntax, along with the output, is provided for those who prefer this format"--Provided by publisher.

Freund, J.F. (1971), Mathematical Statistics, 2nd ed. Prentice Hall, Englewood Cliffs, New Jersey. Hogg, R.V. and Craig, A.T. (1978), Introduction to Mathematical Statistics, 4th ed., Macmillan Publishing Company, New York.

Author: Asha Seth Kapadia

Publisher: CRC Press

ISBN: 9781351992046

Category: Mathematics

Page: 648

View: 770

Mathematical statistics typically represents one of the most difficult challenges in statistics, particularly for those with more applied, rather than mathematical, interests and backgrounds. Most textbooks on the subject provide little or no review of the advanced calculus topics upon which much of mathematical statistics relies and furthermore contain material that is wholly theoretical, thus presenting even greater challenges to those interested in applying advanced statistics to a specific area. Mathematical Statistics with Applications presents the background concepts and builds the technical sophistication needed to move on to more advanced studies in multivariate analysis, decision theory, stochastic processes, or computational statistics. Applications embedded within theoretical discussions clearly demonstrate the utility of the theory in a useful and relevant field of application and allow readers to avoid sudden exposure to purely theoretical materials. With its clear explanations and more than usual emphasis on applications and computation, this text reaches out to the many students and professionals more interested in the practical use of statistics to enrich their work in areas such as communications, computer science, economics, astronomy, and public health.