Описание
Kenneth N. Berk and Thomas Johnson present a comprehensive guide designed to empower users in data analysis through the software JMP-IN 4.0. This book serves as an invaluable resource for both beginners and experienced statisticians, delivering clear, step-by-step instructions that demystify complex analytical processes.
Readers will find a user-friendly approach that breaks down each topic, allowing them to navigate the multifaceted world of data analysis with ease. From basic statistical techniques to more advanced methods, the authors illustrate how to effectively employ JMP-IN in real-world scenarios, ensuring that users gain practical experience alongside theoretical knowledge.
Each chapter is thoughtfully constructed, filled with examples and illustrations that enhance understanding. Through engaging explanations, Berk and Johnson encourage exploration, making it simple for users to apply what they learn to their own data sets, fostering a strong foundation in statistical analysis.
This book is not just about learning to use software; it’s about developing a mindset for analytical thinking. By the end, readers will feel confident in their skills, ready to tackle data challenges in various fields.
Readers will find a user-friendly approach that breaks down each topic, allowing them to navigate the multifaceted world of data analysis with ease. From basic statistical techniques to more advanced methods, the authors illustrate how to effectively employ JMP-IN in real-world scenarios, ensuring that users gain practical experience alongside theoretical knowledge.
Each chapter is thoughtfully constructed, filled with examples and illustrations that enhance understanding. Through engaging explanations, Berk and Johnson encourage exploration, making it simple for users to apply what they learn to their own data sets, fostering a strong foundation in statistical analysis.
This book is not just about learning to use software; it’s about developing a mindset for analytical thinking. By the end, readers will feel confident in their skills, ready to tackle data challenges in various fields.
Детали книги
Формат
Мягкая обложка
Страницы
336 страниц
Язык
Английский
Опубликовано
июл 12, 2000
Издатель
Brooks/Cole
Издание
1
ISBN-10
053437395X
ISBN-13
9780534373955