Utilizing the personable and clear approach that made Statistics for People Who (Think They) Hate Statistics a bestseller, Neil J. Salkind focuses on the use of Excel as the primary analytic tool in the Second Edition of Statistics for People Who Think They Hate Statistics – Excel 2007 Edition. Salkind walks readers through various statistical procedures, beginning with correlations and graphical representation of data and ending with inferential techniques and analysis of variance. Throughout the book, he reveals the full capabilities of Excel, beginning with Part I, which is an introduction to Excel to the end, where he presents an extensive overview of Excel functionality.
Key Features of theSecond Edition:
Reflects all Excel material based on Excel 2007 including all screen grabs
Moves the reliability and validity chapter forward
Offers more examples throughout the text and more end of chapter exercises
Includes new and updated icons to explore certain topics in detail
Presents the answers to the Time to Practice exercises to follow in chapter rather than at end of book
Contains an Appendix detailing the differences between Excel 2003 to Excel 2007
Incorporates the use of the new Data Analysis Toolpak option
Covers formulas and functions in more detail
The password-protected Instructor Resources Site at www.sagepub.com/salkind2einstrincludes:
Power Point presentations
Questions and activities
Test questions with answers
SAGE journal articles & Web resources
The student study site at http://www.sagepub.com/salkind2studycontains
Data sets for Excel 97-2003
Data sets for Excel 2007
Time for Practice data sets
Questions and activities
This text is designed for students taking Introduction to Statistics courses in applied disciplines, especially in business & management and the human services.
Praise for Neil Salkind and Statistics for People Who (Think They) Hate Statistics
“Salkind’s book is in a class by itself. It is easily the best book of its kind that I have come across. I enthusiastically recommend it for anyone interested in the subject, and even (and especially) for those who aren’t!” -Russ Shafer-Landau, Professor, University of Wisconsin
“Your book Statistics for People Who (Think They) Hate Statistics has cleared up confusion and partial understandings that I have had for years. It is a must for anyone beginning or continuing their journey in this science. I love it, and will use it for all of the foreseeable future.” -Ronald A. Straube, Performance Improvement Coordinator, Mission Regional Medical Center
“Salkind’s examples assist with the application of key concepts and tests. The book is easy to read due to the way information is presented-such as the Tech Talk, Things to Remember, the Key to Difficulty Index, the various 10 lists, the icons, and the illustrations-including the cartoons. Even the title brings laughter to students-and humor can be a great antidote to stress!” -Mary Beth Zeni, Assistant Professor, Florida State School of Nursing
“I am a doctoral student and we simply love your book.” -Marisol Miller, Ph D candidate, Arizona State University
“I just wanted to thank you for writing such a great book and for allowing people like me who are flung in at the deep end to stand a chance of understanding the basics and allowing us to get over the great fear of statistics! Thanks very much.” -Joanna Paolinelli, MSStudent in Developmental Psychology
"...offers a slow-paced, entertaining introduction to the topic...begins with a discussion of the 'language' of statistics, then goes on to cover both descriptive and inferential statistics."
Neil J. Salkind is Professor Emeritus at the University of Kansas, where he taught in the Department of Educational Psychology for more than 35 years. His interest is in writing about statistics and research methods in an informative, nonintimidating and noncondescending way. He is also the author of Statistics for People Who (Think They) Hate Statistics, Statistics for People Who (Think They) Hate Statistics (the Excel Edition), Excel Statistics - a Quick Guide, and the recently edited Encyclopedia of Research Design.
Part I: Yippee! I'm in Statistics Chapter 1: Statistics or Sadistics? It's Up to You Part II: Sigma Freud and Descriptive Statistics Chapter 2: Means to an End: Computing and Understanding Averages Chapter 3: Vive la Différence: Understanding Variability Chapter 4: A Picture Really Is Worth a Thousand Words Chapter 5: Ice Cream and Crime: Computing Correlation Coefficients Chapter 6: Just the Truth: An Introduction to Understanding Reliability and Validity Part III: Taking Chances for Fun and Profit Chapter 7: Hypotheticals and You: Testing Your Questions Chapter 8: Are Your Curves Normal? Probability and Why It Counts Part IV: Significantly Different: Using Inferential Statistics Chapter 9: Significantly Significant: What It Means for You and Me Chapter 10: t(ea) for Two: Tests Between the Means of Different Groups Chapter 11: t(ea) for Two (Again): Tests Between the Means of Related Groups Chapter 12: Two Groups Too Many? Try Analysis of Variance Chapter 13: Two Too Many Factors: Factorial Analysis of Variance Chapter 14: Cousins or Just Friends? Testing Relationships Using the Correlation Coefficient Chapter 15: Predicting Who'll Win the Super Bowl: Using linear Regression Chapter 16: What to Do When You're Not Normal: Chi-Square and Some other Nonparametric Tests Chapter 17: Some Other (Important) Statistical Procedures You Should Know About Chapter 18: A Statistical Software Sampler Part V: Ten Things You'll Want to Know and Remember Chapter 19: The Ten Best Internet Sites for Statistics Stuff Chapter 20: The Ten Commandments of Data Collection Appendix A: SPSS in Less Than 30 Minutes Appendix B: Tables Appendix C: Data Sets Appendix D: Your Reward: The Brownie Recipe Glossary Index
I purchased this $60 textbook for my research class and didn't realize it can only be read from a computer. This is not very convenient, since I use my iPad as my laptop and don't have easy access to a PC. I wish I had noticed this before placing this order.
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