Statistics For People Who

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.

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

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.

This Student Study Guide includes chapter outlines, chapter summaries, learning objectives, key terms, true/false, short answer and essay questions. Exercises are also included for students to test and apply their knowledge. Answers to all questions are also included. The Study Guide for the Seventh Edition matches the organization of the current Salkind and Frey text.

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 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 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. Opening with an introduction to Excel, including coverage of how to use functions and formulas, this edition shows students how to install the Excel Data Analysis Tools option to access a host of useful analytical techniques. New to the Fifth Edition is new co-author Bruce Frey who has added a new feature on statisticians throughout history (with a focus on the contributions of women and people of color). He has updated the "Real-World Stats" feature, and added more on effect sizes, updated the discussions on hypotheses, measurement concepts like validity and reliability, and has more closely tied analytical choices to the level of measurement of variables.

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.

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.

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.

The bestselling text Statistics for People Who (Think They) Hate Statistics is the basis for this completely adapted Excel version. Author Neil J. Salkind presents an often intimidating and difficult subject in a way that is informative, personable, and clear. Researchers and students who find themselves uncomfortable with the analysis portion of their work will appreciate this book’s unhurried pace and thorough, friendly presentation. Salkind begins the Excel version with a complete introduction to the software, and 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. He then walks students through various statistical procedures, beginning with correlations and graphical representation of data and ending with inferential techniques and analysis of variance. Pedagogical features include sidebars offering additional technical information about the topic and set-off points that reinforce major themes. Finally, questions to chapter exercises, a complete glossary, and extensive Excel functionality are located at the back of the book.

"This study guide is desgined to provide help for an often intimidating subject with an approach that is informative, personable, and clear. It walks the user through various statistical procedures, including descriptive statitics, correlation, and graphical representation of data, and inferential techniques, analysis of variance, and more"--Back cover.

This Study Guide for introductory statistics courses in psychology departments is designed to accompany Neil J. Salkind’s best-selling Statistics for People Who (Think They) Hate Statistics, Sixth Edition. Extra exercises; activities; and true/false, multiple choice, and essay questions (with answers to all questions) feature psychology-specific content to help further student mastery of text concepts. Two additional appendix items in this guide include: Practice with Real Data!, which outlines four experiments and provides students with the datasets (at edge.sagepub.com/salkind6e) to run the analyses, plus Writing Up Your Results – Guidelines based on APA style.

This Study Guide for introductory statistics courses in psychology departments is designed to accompany Neil J. Salkind and Bruce B. Frey’s best-selling Statistics for People Who (Think They) Hate Statistics, Seventh Edition. Extra exercises; activities; and true/false, multiple choice, and essay questions (with answers to all questions) feature psychology-specific content to help further student mastery of text concepts. Two additional appendix items in this guide include: Practice with Real Data!, which outlines four experiments and provides students with the datasets to run the analyses, plus Writing Up Your Results – Guidelines based on APA style.

Prepared by David Kremelberg (University of Connecticut, Storrs), this study guide offers additional review and practice to help you succeed in your statistics class. Each chapter corresponds to the appropriate chapter in Neil Salkind's Statistics for People Who (Think They) Hate Statistics, Fourth Edition, and contains the following: a chapter outline; learning objectives; key terms; a chapter summary; true/false, short-answer, and essay questions; and exercises.

This Study Guide for introductory statistics courses in education departments is designed to accompany Neil J. Salkind’s best-selling Statistics for People Who (Think They) Hate Statistics, Sixth Edition. Extra exercises; activities; and true/false, multiple choice, and essay questions (with answers to all questions) feature education-specific content to help further student mastery of text concepts. A dataset is provided for use with the book at edge.sagepub.com/salkind6e. The dataset contains simulated data to represent a random elementary school in the US. This fictitious elementary school consists of grade K-5 and has traditional classes taught in English as well as Spanish immersion classes. The simulated data represents a set of 70 teachers in this school. The dataset allows students to run various practice exercises in SPSS.

This Study Guide for introductory statistics courses in psychology departments is designed to accompany Neil J. Salkind’s best-selling Statistics for People Who (Think They) Hate Statistics, Sixth Edition. Extra exercises; activities; and true/false, multiple choice, and essay questions (with answers to all questions) feature psychology-specific content to help further student mastery of text concepts. Two additional appendix items in this guide include: Practice with Real Data!, which outlines four experiments and provides students with the datasets (at edge.sagepub.com/salkind6e) to run the analyses, plus Writing Up Your Results – Guidelines based on APA style.

In an increasingly data-driven world, it is more important than ever for students as well as professionals to better understand basic statistical concepts. 100 Questions (and Answers) About Statistics addresses the essential questions that students ask about statistics in a concise and accessible way. It is perfect for instructors, students, and practitioners as a supplement to more comprehensive materials, or as a desk reference with quick answers to the most frequently asked questions. “The key strength of this book is the straightforward approach. I love the to-the-point question-and-answer format. . . . This book would be useful in both statistics and research methods courses . . . [and] in math tutoring labs. I love the tone the author uses, as it is not condescending. Students will be encouraged.” —Jamie Brown, Mercer University “The sequencing of the questions works very well—from the most basic to the more intimidating questions often asked by students in an intro class. . . . If Dr. Salkind is the author, I know it will be well-written, and both entertaining and easy to understand.” —Linda Martinez, California State University, Long Beach “Practical examples from all types of work: showing the steps to do each analysis and then the ways to use the results responsibly.” —Jennifer R. Salmon, Eckerd College

This Study Guide for introductory statistics courses in education departments is designed to accompany Neil J. Salkind and Bruce B. Frey’s best-selling Statistics for People Who (Think They) Hate Statistics, Seventh Edition. Extra exercises; activities; and true/false, multiple choice, and essay questions (with answers to all questions) feature education-specific content to help further student mastery of text concepts. A dataset is provided for use with the book. The dataset contains simulated data to represent a random elementary school in the US. This fictitious elementary school consists of grade K-5 and has traditional classes taught in English as well as Spanish immersion classes. The simulated data represents a set of 70 teachers in this school. The dataset allows students to run various practice exercises in SPSS.