A friendly, hands-on guide to the dreaded field of statistics
Competence in and understanding statistics is important to success in such fields as business and science, and is often a requirement for college students in a variety of programs. This handy guide complements author Deborah Rumsey's Statistics For Dummies by presenting exercises and fully worked solutions that let students and professionals practice and sharpen their statistical skills and understanding of the subject. Offering a simple, straightforward examination of the process and products of statistical computation-as well as a wealth of tips and tricks-Statistics Workbook For Dummies is an invaluable resource for reinforcing the concepts and practice of statistics.
Deborah Rumsey has a PhD in Statistics from The Ohio State University (1993). Upon graduating, she joined the faculty in the Department of Statistics at Kansas State University, winning the distinguished Presidential Teaching Award and earning tenure and promotion in 1998. In 2000, she returned to Ohio State and is now a Statistics Education Specialist/Auxiliary Faculty Member for the Department of Statistics. Dr. Rumsey has served on the American Statistical Association s Statistics Education Executive Committee and as the Editor of the Teaching Bits Section of the Journal of Statistics Education. She s the author of the book Statistics For Dummies (Wiley), and she has published many papers and given many professional presentations on the subject of statistics education. Her particular research interests are curriculum materials development, teacher training and support, and immersive learning environments. Her passions, besides teaching, include her family, fishing, bird watching, driving a John Deere tractor, and Ohio State Buckeye football (not necessarily in that order).
Introduction. Part I: Getting Off to a Statistically Significant Start. Chapter 1: Summarizing Categorical Data: Counts and Percents. Chapter 2: Organizing Categorical Data: Charts and Graphs. Chapter 3: Organizing Quantitative Data: Charts and Graphs. Chapter 4: Summarizing Quantitative Data: Means, Medians, and More. Part II: Probability, the Normal Distribution, and the Central Limit Theorem (Are You Having Fun Yet?). Chapter 5: Understanding Probability Basics. Chapter 6: Measures of Relative Standing and the Normal Distribution. Chapter 7: Demystifying Sampling Distributions and the Central Limit Theorem. Part III: Guesstimating with Confidence. Chapter 8: Making Sense of Margin of Error. Chapter 9: Calculating Confidence Intervals. Chapter 10: Deciphering Your Confidence Interval. Part IV: Putting a Claim to the (Hypothesis) Test. Chapter 11: Testing Hypotheses. Chapter 12: Taking the Guesswork Out of p-Values and Type I and II Errors. Part V: Getting the Inside Scoop on Statistical Studies. Chapter 13: Examining Polls and Surveys. Chapter 14: Evaluating Experiments. Part VI: Exploring and Describing Relationships between Two Variables. Chapter 15: Looking for Links in Categorical Data: Two-Way Tables. Chapter 16: Searching for Links in Quantitative Data: Correlation and Regression. Part VII: The Part of Tens. Chapter 17: Math Review: Ten Steps to a Better Grade.3 Chapter 18: Top Ten Statistical Formulas. Chapter 19: Ten Ways to Spot Common Statistical Mistakes.3 Index.