A Second Course In Statistics Regression Analysis(7th Edition)

Authors:

William Mendenhall, Terry T Sincich

Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New

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Book details

ISBN: 0321831454, 9780321831453

Book publisher: Pearson

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Book Price $89.6 : A Second Course in Statistics: Regression Analysis by William Mendenhall and Terry T. Sincich is a pivotal text for students aiming to delve deeper into statistical analyses, specifically focusing on regression models. This 7th edition is an advanced exploration of statistical methods, designed to provide a comprehensive understanding of multiple regression models and their applications in real-world data analysis. Key concepts such as hypothesis testing, multicollinearity, and regression diagnostics are thoroughly discussed, offering a robust framework for students engaged in statistical research. The book is structured to guide users through building effective regression models and includes practical examples that demonstrate the application of statistical software in data analysis. The inclusion of a detailed solution manual and an answer key supports students in verifying their understanding of complex topics. Furthermore, the well-organized table of content ensures that students can efficiently navigate through topics ranging from simple linear regression to advanced model selection techniques. This book is praised for its clarity and depth, making it an essential academic resource for those studying statistics at an advanced level. Receiving positive reception for its practical approach, A Second Course in Statistics: Regression Analysis continues to be a highly recommended text for aspiring statisticians. This book is an invaluable asset for courses focusing on data analysis techniques and applied statistics. For instructors and students, the solution manual and answer key are invaluable tools for learning and teaching advanced statistical concepts, as it allows in-depth exercises verification and comprehension. Designed for budget-conscious learners, this book offers cheap yet detailed coverage of core concepts.

Customer Reviews

Trusted feedback from verified buyers

IF
Iris Franklin
4.0
Solid book for statisticians wanting a second look at regression.
PW
Phillip Whitman
5.0
This book is an outstanding resource for anyone diving deep into regression analysis. The examples are relevant and the explanations clear, making complex concepts easier to grasp. I particularly appreciated the inclusion of real-world data sets and the blend of theory with practical application. I ordered it through my academic membership and scored a nice discount, and it arrived promptly, well-packaged — a seamless purchasing experience. Highly recommended for both students and professionals in the field!