Easy to read, easy to understand
Now revised with updated exercises, Johnson and Bhattacharyya's Fifth Edition of Statistics: Principles and Applications once again offers an easy-to-read, easy-to-understand introduction to statistics. The authors use real-world examples, fresh hands-on exercises, and crystal clear explanations to motivate students to explore the powerful ideas of modern statistics.
Fresh exercises
Exercises and data sets are updated throughout for currency. Each major section and chapter in the text ends with a set of exercises that provides students with the opportunity to practice the ideas they just learned. Data sets are available on the book's website at www.wiley.com/college/johnson.
Engaging applications
A wide variety of timely example applications throughout the text connect statistics to real-life problems. Extended Statistics in Context examples reveal the value of understanding statistics. This Fifth Edition features new screen shots and keystrokes for MINITAB, Excel, and TI-83 integrated into the text examples, as appropriate, as well as new technology manuals for MINITAB, Excel, and TI-83 on the book's website.
A student-friendly approach
Featuring an engaging writing style with easy-to-follow explanations, this text makes statistics accessible to students from a wide range of disciplines. Johnson and Bhattacharyya help students understand the meaning behind key statistical methods, appreciate the underlying logic of statistics, and recognize the possible pitfalls of statistical analysis.
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Retaining the successful format of previous editions this update develops students' understanding of the reasonings by which findings from sample data can be extended to general conclusions and a familiarity with several basic statistical techniques. Provides succinct explanations of the concepts and important statistical terminology. Authentic settings motivate the statistical ideas and well-organized discussions cover techniques, with heavy emphasis on examples. Contains a new section that illustrates the use of a probability distribution in a practical setting as well as more data-based exercises.
Richard A. Johnson, University of Wisconsin at Madison
Gouri K. Bhattacharyya, University of Wisconsin at Madison
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