Common Errors in Statistics (and How to Avoid Them) by
Praise for the Second Edition "All statistics students and teachers will find in this book a friendly and intelligentguide to . . . applied statistics in practice." -Journal of Applied Statistics ". . . a very engaging and valuable book for all who use statistics in any setting." -CHOICE ". . . a concise guide to the basics of statistics, replete with examples . . . a valuablereference for more advanced statisticians as well." -MAA Reviews Now in its Third Edition, the highly readable Common Errors in Statistics (and How to Avoid Them) continues to serve as a thorough and straightforward discussion of basic statistical methods, presentations, approaches, and modeling techniques. Further enriched with new examples and counterexamples from the latest research as well as added coverage of relevant topics, this new edition of the benchmark book addresses popular mistakes often made in data collection and provides an indispensable guide to accurate statistical analysis and reporting. The authors' emphasis on careful practice, combined with a focus on the development of solutions, reveals the true value of statistics when applied correctly in any area of research. The Third Edition has been considerably expanded and revised to include: A new chapter on data quality assessment A new chapter on correlated data An expanded chapter on data analysis covering categorical and ordinal data, continuous measurements, and time-to-event data, including sections on factorial and crossover designs Revamped exercises with a stronger emphasis on solutions An extended chapter on report preparation New sections on factor analysis as well as Poisson and negative binomial regression Providing valuable, up-to-date information in the same user-friendly format as its predecessor, Common Errors in Statistics (and How to Avoid Them), Third Edition is an excellent book for students and professionals in industry, government, medicine, and the social sciences.
A First Course in Statistical Programming with R by
This is the only introduction you'll need to start programming in R, the open-source language that is free to download, and lets you adapt the source code for your own requirements. Co-written by one of the R Core Development Team, and by an established R author, this book comes with real R code that complies with the standards of the language. Unlike other introductory books on the ground-breaking R system, this book emphasizes programming, including the principles that apply to most computing languages, and techniques used to develop more complex projects. Learning the language is made easier by the frequent exercises and end-of-chapter reviews that help you progress confidently through the book. Solutions, datasets and any errata will be available from the book's web site. The many examples, all from real applications, make it particularly useful for anyone working in practical data analysis.
IBM SPSS for Introductory Statistics by
Designed to help students analyze and interpret research data using IBM SPSS, thisnbsp;book describes the use of statistics in user-friendly, non-technicalnbsp;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. The new edition features: IBM SPSS version 18 but the book can also be used with older and newer versions New section on describing demographics and key variables Expanded discussion of assumptions and effect size measures in several chapters Expansion of other useful SPSS functions in Appendix A Examples that meet the new formatting guidelines outlined 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 Two realistic data sets at www.psypress.com used to solve the chapter problems Password protected Instructor's Resource materials with PowerPoint slides, answers to interpretation questions, extra SPSS problems, and more found at http://www.psypress.com/ibm-spss-intro-stats . IBM SPSS for Introductory Statistics, Fourth Edition provides helpful teaching tools: All of the key IBM SPSS windows needed to perform the analyses Complete outputs with call-out boxes to highlight key points Interpretation sections and questions to help students better understand and interpret the output Lab assignments organized the way students proceed when they conduct a research project Extra problems for practice in running and interpreting SPSS Helpful appendices on how to: get started with SPSS; write research questions; and create tables and figures. An ideal supplement for courses in either statistics, research methods, or any course in which SPSS is used, taught in departments of psychology, education, and other social and health sciences, this book is also appreciated by researchers interested in using SPSS for their data analysis.
Register-Based Statistics by
This book provides a comprehensive and up to date treatment of theory and practical implementation in Register-based statistics. It begins by defining the area, before explaining how to structure such systems, as well as detailing alternative approaches. It explains how to create statistical registers, how to implement quality assurance, and the use of IT systems for register-based statistics. Further to this, clear details are given about the practicalities of implementing such statistical methods, such as protection of privacy and the coordination and coherence of such an undertaking. This edition offers a full understanding of both the principles and practices of this increasingly popular area of statistics, and can be considered a first step to a more systematic way of working with register-statistical issues. This book addresses the growing global interest in the topic and employs a much broader, more international approach than the 1st edition. New chapters explore different kinds of register-based surveys, such as preconditions for register-based statistics and comparing sample survey and administrative data. Furthermore, the authors present discussions on register-based census, national accounts and the transition towards a register-based system as well as presenting new chapters on quality assessment of administrative sources and production process quality.
Visual Statistics by
A visually intuitive approach to statistical data analysis<br /> <br /> Visual Statistics brings the most complex and advanced statistical methods within reach of those with little statistical training by using animated graphics of the data. Using ViSta: The Visual Statistics System-developed by Forrest Young and Pedro Valero-Mora and available free of charge on the Internet-students can easily create fully interactive visualizations from relevant mathematical statistics, promoting perceptual and cognitive understanding of the data′s story. An emphasis is placed on a paradigm for understanding data that is visual, intuitive, geometric, and active, rather than one that relies on convoluted logic, heavy mathematics, systems of algebraic equations, or passive acceptance of results.<br /> <br /> A companion Web site complements the book by further demonstrating the concept of creating interactive and dynamic graphics. The book provides users with the opportunity to view the graphics in a dynamic way by illustrating how to analyze statistical data and explore the concepts of visual statistics.<br /> <br /> Visual Statistics addresses and features the following topics:<br /> ∗ Why use dynamic graphics?<br /> ∗ A history of statistical graphics<br /> ∗ Visual statistics and the graphical user interface<br /> ∗ Visual statistics and the scientific method<br /> ∗ Character-based statistical interface objects<br /> ∗ Graphics-based statistical interfaces<br /> ∗ Visualization for exploring univariate data<br /> <br /> This is an excellent textbook for undergraduate courses in data analysis and regression, for students majoring or minoring in statistics, mathematics, science, engineering, and computer science, as well as for graduate-level courses in mathematics. The book is also ideal as a reference/self-study guide for engineers, scientists, and mathematicians.<br /> <br /> With contributions by highly regarded professionals in the field, Visual Statistics not only improves a student′s understanding of statistics, but also builds confidence to overcome problems that may have previously been intimidating.
The Changing Wealth of Nations 2017 by