Workshop Statistics: Discovery with Data, a Bayesian Approach

1.Data Analysis;
2.Collecting Data;
3. Graphing Data;
4.Probability;
5. Inference..

From the reviews: THE AMERICAN STATISTICIAN "Albert has done a very smooth job of writing his half of this book so that it flows with the original Rossman chapters. His chapters of the book have the same playful, and highly readable, approaches to learning statistics that have made the Workshop Statistics series so popular for introductory statistics courses where minimal mathematics ability is needed. His examples and problems are ones that a typical college student would find interesting...If you are an instructor of a class that either has been using the Workshop Statistics series, or is contemplating doing so, but have wanted a Bayesian approach, then this text is for you. This text is highly enjoyable, reads fluidly, has a pace suitable for undergraduates with minimal mathematical abilities, and covers the basics of Bayesian analysis in a way that the students will be able to follow without becoming confused by the many complicated algebraic methods behind introductory statistics...Overall, this a very excellent addition to Workshop Statistics series, and one that will make people who have wished to introduce Bayesian methods to all undergraduate students very happy. It is highly readable has excellent problems, and Allen Rossman and James Albert's Web site include solutions to the problems, sample syllabi, sample exams, datasets, Minitab programs and macros, Java applets and a guide for instructors. Even if you do not feel that this text is suitable as the main text for your introductory course I would recommend a copy as a reference, or as a lab manual, as many of the examples and problems are suitable activities for any introductory class."