Scientific progress depends on good research, and good research needs good statistics. But statistical analysis is tricky to get right, even for the best and brightest of us. You'd be surprised how many scientists are doing it wrong. Statistics Done Wrong is a pithy, essential guide to statistical blunders in modern science that will show you how to keep your research blunder-free. You'll examine embarrassing errors and omissions in recent research, learn about the misconceptions and scientific politics that allow these mistakes to happen, and begin your quest to reform the way you and your peers do statistics. You'll find advice on: –Asking the right question, designing the right experiment, choosing the right statistical analysis, and sticking to the plan –How to think about p values, significance, insignificance, confidence intervals, and regression –Choosing the right sample size and avoiding false positives –Reporting your analysis and publishing your data and source code –Procedures to follow, precautions to take, and analytical software that can help Scientists: Read this concise, powerful guide to help you produce statistically sound research. Statisticians: Give this book to everyone you know. The first step toward statistics done right is Statistics Done Wrong.
The Student Study Guide With IBM® SPSS® Workbook for Essential Statistics for the Behavioral Sciences, Second Edition includes a review of chapter learning objectives, chapter outlines and key terms, essential statistical formulas, special tips and insights for students, and chapter summaries. To help students practice skills, the guide offers word searches and crossword puzzles for each chapter, extensive practice quizzes linked to chapter learning objectives, and "SPSS in Focus" exercises which complement those in the core text. Bundle and Save Bundle the Student Study Guide with the core text, Essential Statistics for the Behavioral Sciences, Second Edition, for only $5 more! Order using bundle ISBN 978-1-5443-3742-5.
The third edition of the Student Study Guide With IBM® SPSS® Workbook for Research Methods, Statistics, and Applications by Kathrynn A. Adams and Eva K. McGuire gives students even more opportunities to practice and apply their knowledge in statistics and research methods. Written by the authors of Research Methods, Statistics, and Applications, the third edition of the study guide follows the third edition of the textbook for straightforward assigning and practice. New features include practice quizzes to give students both recognition and recall activities for better retention. Learning objectives and brief chapter summaries from the main text remind students of what they′ve learned and orient students toward the exercises. In-depth exercises encourage students to build on their knowledge, requiring students to think critically and actively engage with the material. These exercises have been condensed and focus on moving students through the learning objectives at a quick pace. At the end of most chapters, "Your Research" sections encourage students to apply concepts to their own projects. Now placed at the end of book, the IBM® SPSS® workbook provides instructions for performing statistical calculations. Included in this workbook are additional exercises to practice data analysis and interpretation using the software. Answers to quizzes are listed immediately after each quiz in the book while answers to exercises are listed on the instructor resources website.
The Student Study Guide With IBM® SPSS® Workbook for Statistics for the Behavioral Sciences, Third Edition includes a review of chapter learning objectives, chapter outlines and key terms, essential statistical formulas, special tips and insights for students, and chapter summaries. To help students practice skills, the guide offers word searches and crossword puzzles for each chapter, extensive practice quizzes linked to chapter learning objectives, and "SPSS in Focus" exercises which complement those in the core text.
This study guide for Gregory J. Privitera’s best-selling Research Methods for the Behavioral Sciences, Third Edition includes a review of chapter learning objectives, chapter summaries, and tips and cautions. To help students practice their skills, the guide offers quizzes and exercises accompanied by answers keys; SPSS in Focus exercises with general instructions complement those in Privitera’s main text.
Written by Eva Lawrence and Kathrynn Adams, this study guide provides instructions for performing statistical calculations in IBM(R) SPSS (R) along with additional exercises to reinforce concepts in the text. It follows the main text, chapter by chapter, for easy assigning and studying.
The Study Guide to Accompany Neil J. Salkind's Statistics for People Who (Think They) Hate Statistics, Sixth Edition includes chapter outlines; chapter summaries; learning objectives; key terms; exercises; true/false, multiple choice, and essay questions; as well as answers to all questions. The guide has been updated to match the organization of Salkind’s text and includes activities for the book's new Chapter 19: Data Mining: An Introduction to Getting the Most Out of Your BIG Data.
This Study Guide for introductory statistics courses in health and nursing departments is designed to accompany Neil J. Salkind's Statistics for People Who (Think They) Hate Statistics, Sixth Edition. It provides extra exercises, activities, true/false, multiple choice, and essay questions (as well as answers to all questions), plus accompanying datasets on the textbook's website, all created to provide health-specific content to accompany Salkind's bestselling text.
Help your students understand some of the most elusive fundamentals of epidemiology and biostatistics with this fully updated revision of the bestselling Study Guide to Epidemiology and Biostatistics. The Seventh Edition offers expanded chapters as well as coverage of new topics that have become prevalent in the medical literature such as: receiver-operator curve analysis to improve sensitivity/specificity; the power of a statistical test; one-tailed P values; comparison-wise significance levels versus study-wise significance levels; confidence interval and its relationship to statistical significance; meta-analysis with current methods for assessing heterogeneity and the potential for publication bias; and the use of propensity scoring to reduce bias in non-experimental studies. Important Notice: The digital edition of this book is missing some of the images or content found in the physical edition.