Noted for its clear and concise, statistically accurate discussions that constantly probe beyond the procedures to teach the reader the reasoning behind a method. The authors discuss the assumptions that all statistical models make, and motivate discussions using real-life examples. By means of good motivation, sound explanations, and an abundance of illustrations given in a real-world context, this book emphasizes more than just a superficial understanding of the material.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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