This book provides readers with an understanding of the reasoning by which findings from sample data can be extended to general conclusions, and learn some basic statistical methods. Discussion of the statistical methods includes an explanation of their underlying assumptions and the dangers of ignoring them. There are numerous data sets and computer outputs which give an appreciation of the role of the computer in modern data analysis.
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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.
Using accurate and concise discussions, this book teaches students to understand the reasoning behind statistical methods as well as how to perform them. The authors discuss the assumptions that all statistical models make, and motivate discussions using examples to show students how statistics are used in their lives. In addition to providing a solid introduction to data analysis, the new edition features discussions of probability, more examples and exercises, and more MINITAB screens.
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