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Statistics for People Who (Think They) Hate Statistics

Statistics for People Who (Think They) Hate Statistics


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About the Book

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)

Table of Contents:
A Note to the Student: Why We Wrote This Book Acknowledgments And Now, About the Seventh Edition . . . About the Authors PART I • YIPPEE! I’M IN STATISTICS Chapter 1 • Statistics or Sadistics? It’s Up to You Why Statistics? A 5-Minute History of Statistics Statistics: What It Is (and Isn’t) What Am I Doing in a Statistics Class? Ten Ways to Use This Book (and Learn Statistics at the Same Time!) About the Book’s Features Key to Difficulty Icons Glossary Summary Time to Practice PART II • SIGMA FREUD AND DESCRIPTIVE STATISTICS Chapter 2 • Computing and Understanding Averages: Means to an End Computing the Mean Computing the Median Computing the Mode When to Use What Measure of Central Tendency (and All You Need to Know About Scales of Measurement for Now) Using SPSS to Compute Descriptive Statistics Summary Time to Practice Chapter 3 • Understanding Variability: Vive la Différence Why Understanding Variability Is Important Computing the Range Computing the Standard Deviation Computing the Variance Using SPSS to Compute Measures of Variability Summary Time to Practice Chapter 4 • Creating Graphs: A Picture Really Is Worth a Thousand Words Why Illustrate Data? Ten Ways to a Great Figure (Eat Less and Exercise More?) First Things First: Creating a Frequency Distribution The Plot Thickens: Creating a Histogram The Next Step: A Frequency Polygon Other Cool Ways to Chart Data Using the Computer (SPSS, That Is) to Illustrate Data Summary Time to Practice Chapter 5 • Computing Correlation Coefficients: Ice Cream and Crime What Are Correlations All About? Computing a Simple Correlation Coefficient Squaring the Correlation Coefficient: A Determined Effort Other Cool Correlations Parting Ways: A Bit About Partial Correlation Summary Time to Practice Chapter 6 • An Introduction to Understanding Reliability and Validity: Just the Truth An Introduction to Reliability and Validity Reliability: Doing It Again Until You Get It Right Different Types of Reliability How Big Is Big? Finally: Interpreting Reliability Coefficients Validity: Whoa! What Is the Truth? A Last Friendly Word Validity and Reliability: Really Close Cousins Summary Time to Practice PART III • TAKING CHANCES FOR FUN AND PROFIT Chapter 7 • Hypotheticals and You: Testing Your Questions So You Want to Be a Scientist Samples and Populations The Null Hypothesis The Research Hypothesis What Makes a Good Hypothesis? Summary Time to Practice Chapter 8 • Probability and Why It Counts: Fun With a Bell-Shaped Curve Why Probability? The Normal Curve (aka the Bell-Shaped Curve) Our Favorite Standard Score: The z Score Fat and Skinny Frequency Distributions Summary Time to Practice PART IV • SIGNIFICANTLY DIFFERENT: USING INFERENTIAL STATISTICS Chapter 9 • Significantly Significant: What It Means for You and Me The Concept of Significance Significance Versus Meaningfulness An Introduction to Inferential Statistics An Introduction to Tests of Significance Be Even More Confident Summary Time to Practice Chapter 10 • The One-Sample z Test: Only the Lonely Introduction to the One-Sample z Test The Path to Wisdom and Knowledge Computing the z Test Statistic Using SPSS to Perform a z Test Special Effects: Are Those Differences for Real? Summary Time to Practice Chapter 11 • t(ea) for Two: Tests Between the Means of Different Groups Introduction to the t Test for Independent Samples The Path to Wisdom and Knowledge Computing the t Test Statistic The Effect Size and t(ea) for Two Using SPSS to Perform a t Test Summary Time to Practice Chapter 12 • t(ea) for Two (Again): Tests Between the Means of Related Groups Introduction to the t Test for Dependent Samples The Path to Wisdom and Knowledge Computing the t Test Statistic Using SPSS to Perform a Dependent t Test The Effect Size for t(ea) for Two (Again) Summary Time to Practice Chapter 13 • Two Groups Too Many? Try Analysis of Variance Introduction to Analysis of Variance The Path to Wisdom and Knowledge Different Flavors of Analysis of Variance Computing the F Test Statistic Using SPSS to Compute the F Ratio The Effect Size for One-Way ANOVA Summary Time to Practice Chapter 14 • Two Too Many Factors: Factorial Analysis of Variance—A Brief Introduction Introduction to Factorial Analysis of Variance The Path to Wisdom and Knowledge A New Flavor of ANOVA The Main Event: Main Effects in Factorial ANOVA Even More Interesting: Interaction Effects Using SPSS to Compute the F Ratio Computing the Effect Size for Factorial ANOVA Summary Time to Practice Chapter 15 • Testing Relationships Using the Correlation Coefficient: Cousins or Just Good Friends? Introduction to Testing the Correlation Coefficient The Path to Wisdom and Knowledge Computing the Test Statistic Using SPSS to Compute a Correlation Coefficient (Again) Summary Time to Practice Chapter 16 • Using Linear Regression: Predicting the Future Introduction to Linear Regression What Is Prediction All About? The Logic of Prediction Drawing the World’s Best Line (for Your Data) How Good Is Your Prediction? Using SPSS to Compute the Regression Line The More Predictors the Better? Maybe Summary Time to Practice PART V • MORE STATISTICS! MORE TOOLS! MORE FUN! Chapter 17 • Chi-Square and Some Other Nonparametric Tests: What to Do When You’re Not Normal Introduction to Nonparametric Statistics Introduction to the Goodness-of-Fit (One-Sample) Chi-Square Computing the Goodness-of-Fit Chi-Square Test Statistic Introduction to the Test of Independence Chi-Square Computing the Test of Independence Chi-Square Test Statistic Using SPSS to Perform Chi-Square Tests Other Nonparametric Tests You Should Know About Summary Time to Practice Chapter 18 • Some Other (Important) Statistical Procedures You Should Know About Multivariate Analysis of Variance Repeated-Measures Analysis of Variance Analysis of Covariance Multiple Regression Meta-Analysis Discriminant Analysis Factor Analysis Path Analysis Structural Equation Modeling Summary Chapter 19 • Data Mining: An Introduction to Getting the Most Out of Your BIG Data Our Sample Data Set—Who Doesn’t Love Babies? Counting Outcomes Pivot Tables and Cross-Tabulation: Finding Hidden Patterns Summary Time to Practice Appendix A: SPSS Statistics in Less Than 30 Minutes Appendix B: Tables Appendix C: Data Sets Appendix D: Answers to Practice Questions Appendix E: Math: Just the Basics Appendix F: A Statistical Software Sampler Appendix G: The 10 (or More) Best (and Most Fun) Internet Sites for Statistics Stuff Appendix H: The 10 Commandments of Data Collection Appendix I: The Reward: The Brownie Recipe Glossary Index

About the Author :
Neil J. Salkind received his PhD in human development from the University of Maryland, and after teaching for 35 years at the University of Kansas, he was Professor Emeritus in the Department of Psychology and Research in Education, where he collaborated with colleagues and work with students. His early interests were in the area of children’s cognitive development, and after research in the areas of cognitive style and (what was then known as) hyperactivity, he was a postdoctoral fellow at the University of North Carolina’s Bush Center for Child and Family Policy. His work then changed direction to focus on child and family policy, specifically the impact of alternative forms of public support on various child and family outcomes. He delivered more than 150 professional papers and presentations; written more than 100 trade and textbooks; and is the author of Statistics for People Who (Think They) Hate Statistics (SAGE), Theories of Human Development (SAGE), and Exploring Research (Prentice Hall). He has edited several encyclopedias, including the Encyclopedia of Human Development, the Encyclopedia of Measurement and Statistics, and the Encyclopedia of Research Design. He was editor of Child Development Abstracts and Bibliography for 13 years. He lived in Lawrence, Kansas, where he liked to read, swim with the River City Sharks, work as the proprietor and sole employee of big boy press, bake brownies (see www.statisticsforpeople.com for the recipe), and poke around old Volvos and old houses. Bruce B. Frey, PhD, is an award-winning researcher, author, teacher, and professor of educational psychology at the University of Kansas. He is the editor of The SAGE Encyclopedia of Educational Research, Measurement and Evaluation and the SAGE Encyclopedia of Educational Design. In addition to being the lead author for The Statistics for People Who (Think They) Hate Statistics series, his books for Sage include There’s a Stat for That!, and 100 Questions (and Answers) About Tests and Measurement. He also wrote Statistics Hacks for O’Reilly Media. In his spare time, Bruce leads a secret life as Professor Bubblegum, host of a YouTube channel and Echo Valley, a podcast that celebrates bubblegum pop music of the late 1960s. The show is wildly popular with the young people.

Review :
" . . . Salkind and Frey’s Statistics for People Who (Think They) Hate Statistics, Seventh Edition, takes the worrisome topic of statistics and turns it into an enjoyable enterprise." "Of all the statistics textbooks that I have reviewed, Statistics for People Who (Think They) Hate Statistics is by far the best." "[Statistics for People Who (Think They) Hate Statistics] eases students into concepts with clear intention for each chapter and prompts them to connect everything they′ve learned." "This [Seventh Edition] continues to be the best textbook for students not comfortable with statistics. While not sacrificing depth, the text makes difficult topics approachable. This texts meets my students where they are and allows them to gain the needed knowledge and appreciation of statistics." "In its Seventh Edition, Salkind and Frey’s book provides a scaffolding journey for anyone that has a desire to learn the principles of statistics. This book begins with a foundation of defining the rudimentary principles of measurement, explains the principles of descriptive statistics, and disentangles the challenging principles of hypothesis testing and inferential statistics. It uses a very easy reading format, and it contains clear instructions to running all statistical procedures in SPSS®. The book has an amazing retrieval system of resources (data sets, problem exercises and more) that revitalizes teaching and learning. Therefore, I recommend this book without reservation."  "Two of my favorite statistical authors being together in one book may be a dream come true. Both Salkind′s and Frey′s texts have been a survival manual both for me and for my students. There are very few texts that carry both the weight of statistical grandeur along with the depth of content like this new text does. This is a masterpiece of statistical reference data that meshes the best parts of both authors and fills in the gap following the passing of Salkind. I can′t wait to get this new text into the hands of my students and I know that this new book is going to become a foundational pillar in all of my classes." "This book has a successful conversion mission. Indeed, it succeeds in converting statistics-shy students into statistics-savvy ardent learners. The re-appearance of this mind-catching treasure is a major plus in the effective teaching and easy learning of an introductory course in descriptive and inferential statistics." "Salkind and Frey have written an informative and comprehensive text for the introductory statistics course that is also funny and disarming.  My graduate students - many of whom exhibit an initial wariness toward math courses and long-dormant math skills - have found it to be an unexpected pleasure and an accessible read." "Many students appear unaware that they are using statistics and research methods in their daily lives. When I mention statistics in the research methods course, some get very anxious and remind me that they are not ‘math people.’ Statistics for People Who (Think They) Hate Statistics is a helpful supplemental text for a research methods course. It provides a different perspective regarding how statistics are used and helps students retrieve and build on their statistics knowledge. The text uses humor and interesting examples and helps illustrate why certain research issues are important."


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Product Details
  • ISBN-13: 9781544381831
  • Publisher: Sage Publications Inc Ebooks
  • Publisher Imprint: SAGE Publications Inc
  • Language: English
  • ISBN-10: 1544381832
  • Publisher Date: 07 Aug 2019
  • Binding: Digital download and online
  • No of Pages: 512


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