Now in its third edition, this title teaches an often intimidating and difficult subject in a way that is informative, personable, and clear.

Now in its Seventh Edition, Neil J. Salkind’s bestselling Statistics for People Who (Think They) Hate Statistics with new co-author Bruce B. Frey teaches an often intimidating subject with a humorous, personable, and informative approach that reduces statistics anxiety. With instruction in SPSS®, the authors guide students through basic and advanced statistical procedures, from correlation and graph creation to analysis of variance, regression, non-parametric tests, and more. The Seventh Edition includes new real-world examples, additional coverage on multiple regression and power and effect size, and a robust interactive eBook with video tutorials and animations of key concepts. In the end, students who (think they) hate statistics will understand how to explain the results of many statistical analyses and won’t be intimidated by basic statistical tasks.

Neil J. Salkind’s bestselling Statistics for People Who (Think They) Hate Statistics has been helping ease student anxiety around an often intimidating subject since it first published in 2000. Now the bestselling SPSS® and Excel® versions are joined by a text for use with the R software, Statistics for People Who (Think They) Hate Statistics Using R. New co-author Leslie A. Shaw carries forward Salkind’s signature humorous, personable, and informative approach as the text guides students in a grounding of statistical basics and R computing, and the application of statistics to research studies. The book covers various basic and advanced statistical procedures, from correlation and graph creation to analysis of variance, regression, non-parametric tests, and more.

The real-world examples and journal article citations presented within each chapter are very useful. I like having the references and the ability to share the full article with students. I find the use of humor throughout the book as a key component. Very serious topics (which can sometimes produce anxiety in students) are approached in a humorous manner that prevents students from becoming anxious as they start the material.

The Sixth Edition of Neil J. Salkind’s best-selling Statistics for People Who (Think They) Hate Statistics promises to ease student anxiety around an often intimidating subject with a humorous, personable, and informative approach. Salkind guides students through various statistical procedures, beginning with descriptive statistics, correlation, and graphical representation of data, and ending with inferential techniques and analysis of variance. New to this edition is an introduction to working with large data sets.

Based on Neil J. Salkind’s bestselling text, Statistics for People Who (Think They) Hate Statistics, this adapted Excel 2016 version presents an often intimidating and difficult subject in a way that is clear, informative, and personable. Researchers and students uncomfortable with the analysis portion of their work will appreciate the book′s unhurried pace and thorough, friendly presentation. Opening with an introduction to Excel 2016, including functions and formulas, this edition shows students how to install the Excel Data Analysis Tools option to access a host of useful analytical techniques and then walks them through various statistical procedures, beginning with correlations and graphical representation of data and ending with inferential techniques and analysis of variance. New to the Fourth Edition: A new chapter 20 dealing with large data sets using Excel functions and pivot tables, and illustrating how certain databases and other categories of functions and formulas can help make the data in big data sets easier to work with and the results more understandable. New chapter-ending exercises are included and contain a variety of levels of application. Additional TechTalks have been added to help students master Excel 2016. A new, chapter-ending Real World Stats feature shows readers how statistics is applied in the everyday world. Basic maths instruction and practice exercises for those who need to brush up on their math skills are included in the appendix.

Discover how to develop and implement an HR analytics system that benefits employees, as well as your organization The potential of HR analytics is a major discussion among scholars, practitioners, thought leaders, and technology vendors, with companies like Amazon, Apple, Google, and Meta digging deeply into HR research and analytics practices that extend beyond simple metrics, scorecards, and reporting. Additionally, ethical questions have begun to arise about the potential abuses of HR analytics with respect to technological advancements and the “datafication” of personal—and often trivial—characteristics, preferences, and behaviors that have little relevance to job performance. As a former chief human resources officer, head of Global HR Research and Analytics at a Fortune 100, and thought leader on this subject, Salvatore Falletta has witnessed first-hand the emergence of “creepy analytics” as a hot-button issue. In this one-of-a-kind guide, Falletta delivers a proven step-by-step process for establishing HR analytics capabilities that serve employees and organizations alike. You’ll learn how to rethink and redefine HR analytics, determine stakeholder requirements, gather and transform data, communicate intelligence results, and establish an ethical ecosystem to ensure HR analytics remains a force for good.

Now in its Seventh Edition, Neil J. Salkind’s bestselling Statistics for People Who (Think They) Hate Statistics with new co-author Bruce B. Frey teaches an often intimidating subject with a humorous, personable, and informative approach that reduces statistics anxiety. With instruction in SPSS®, the authors guide students through basic and advanced statistical procedures, from correlation and graph creation to analysis of variance, regression, non-parametric tests, and more. The Seventh Edition includes new real-world examples, additional coverage on multiple regression and power and effect size, and a robust interactive eBook with video tutorials and animations of key concepts. In the end, students who (think they) hate statistics will understand how to explain the results of many statistical analyses and won’t be intimidated by basic statistical tasks. A Complete Teaching & Learning Package accompanies the Seventh Edition! Interactive eBook: Save when bundled with the Seventh Edition. Includes access to SAGE Premium Video, multimedia tools, and much more Use bundle ISBN: 978-1-5443-9339-1. SAGE Premium Video includes animated Core Concepts in Stats Videos, Lightboard Lecture Videos from Bruce B. Frey, and tutorial videos for end-of-chapter of SPSS problems. Only available in the Interactive eBook. SAGE edge: FREE online resources for students that make learning easier. SAGE coursepacks: FREE! Easily import our quality instructor and student resource content into your school’s learning management system (LMS) and save time. Study Guides: only $5 when bundled with Statistics for People Who (Think They) Hate Statistics, 7e. To order: Study Guide and Interactive eBook bundle (ISBN 978-1-5443-9752-8) Study Guide for Psychology and Interactive eBook bundle (ISBN 978-1-5443-9753-5) Study Guide for Education and Interactive eBook bundle (ISBN 978-1-5443-9754-2) Study Guide for Health & Nursing and Interactive eBook bundle (ISBN 978-1-5443-9755-9)

Neil J. Salkind’s bestselling Statistics for People Who (Think They) Hate Statistics has been helping ease student anxiety around an often intimidating subject since it first published in 2000. Now the bestselling SPSS® and Excel® versions are joined by a text for use with the R software, Statistics for People Who (Think They) Hate Statistics Using R. New co-author Leslie A. Shaw carries forward Salkind’s signature humorous, personable, and informative approach as the text guides students in a grounding of statistical basics and R computing, and the application of statistics to research studies. The book covers various basic and advanced statistical procedures, from correlation and graph creation to analysis of variance, regression, non-parametric tests, and more.

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