Description
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
 
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."

-- Amanda Graham
 
"Of all the statistics textbooks that I have reviewed, Statistics for People Who (Think They) Hate Statistics is by far the best."

-- Brittany Landrum
 
"[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." 

-- Russell Brandon
 
"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." 

-- Christopher Ortega
 
"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."