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. Learn more. 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. Learn more. SAGE edge: FREE online resources for students that make learning easier. See how your students benefit. SAGE coursepacks: FREE! Easily import our quality instructor and student resource content into your school’s learning management system (LMS) and save time. Learn more. 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) Watch the demo Lightboard Lecture Video on Normal Curve now!
Now in its third edition, this title teaches an often intimidating and difficult subject in a way that is informative, personable, and clear.
Well, the normal curve (also called a bell-shaped curve, or bell curve) is a visual representation of a distribution of scores that has three characteristics. Each of these characteristics is illustrated in Figure 8.1.
Opening with an introduction to Excel 2016, including coverage of how to use functions and formulas, this edition also shows students how to install the Excel Data Analysis Tools option to access a host of useful analytical techniques.
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, ...
This Fifth Edition of Neil J. Salkind’s Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel, presents an often intimidating and difficult subject in a way that is clear, informative, and personable.
This bundle includes Neil J. Salkind′s Statistics for People Who (Think They) Hate Statistics 7e (Paperback) and SAGE IBM(R) SPSS(R) Statistics v24.0 Student Version.
This edition shows the students how to install the Excel Analysis ToolPak option (free) to earn access to a host of new and very useful analytical techniques.
Thank you to the following reviewers for their time and input: T. John Alexander, Texas Wesleyan University; Jamie V. Brown, Mercer University; Yeonsoo Kim, University of Nevada, Las Vegas; Linda Martinez, California State ...
The student Study Guide to accompany the bestselling Statistics for People Who (Think They) Hate Statistics, Fifth Edition helps students develop an understanding of an often intimidating and difficult subject with an approach that is ...
Built on the premise that anyone can learn to use the R software, this book emphasizes using R to do useful things like writing papers and reports, creating graphs, and conducting simple data analysis.