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Our purpose in writing this book titled ¿Introductory Business Statistics¿ is to provide a clear, accessible treatment of Statistics for students studying graduate or post graduate courses in Statistics, Mathematics and Engineering. It focuses on the interpretation of statistical results, especially in real world settings, and assumes that students have an understanding of intermediate algebra. In addition to end of section practice and homework sets, examples of each topic are explained step-by-step throughout the text and followed by a problem that is designed as extra practice for students. This book also includes collaborative exercises and statistics labs designed to give students the opportunity to work together and explore key concepts. While the book has been built so that each chapter builds on the previous, it can be rearranged to accommodate any instructor¿s particular needs. The emphasis of this text is on the practice of regression and analysis of variance. The objective is to learn what methods are available and more importantly, when they should be applied.
Our purpose in writing this book titled ¿Fundamentals of Probability and Statistical Analysis¿ is to provide a clear, accessible treatment of Statistics for students studying graduate or post graduate courses in Statistics, Mathematics and Engineering. It focuses on the interpretation of statistical results, especially in real world settings, and assumes that students have an understanding of intermediate algebra. In addition to end of section practice and homework sets, examples of each topic are explained step-by-step throughout the text and followed by a problem that is designed as extra practice for students. This book also includes collaborative exercises and statistics labs designed to give students the opportunity to work together and explore key concepts. While the book has been built so that each chapter builds on the previous, it can be rearranged to accommodate any instructor¿s particular needs. The emphasis of this text is on the practice of regression and analysis of variance. The objective is to learn what methods are available and more importantly, when they should be applied.
This book is a natural outgrowth of Numerical Analysis. It is written as a text book for the course at Graduation level and Post-Graduation level for all fields of Sciences and Engineering. There are several materials in this text book, so anyone can select the topics according to his/her need for their respective university/college examinations. This is also enriched with many interesting and harder sums in solved examples as well as in exercises. This text is also suitable for self-study and for short, intensive study for continuing education. The book is enriched with theoretical problems as well as numerical illustrations which can be truthfully utilized for students belonging to Graduation, Post- Graduation and Research level. Introduction of each chapter contains motivational points, real life examples and theoretical demonstrations which will develop the interest of the student about numerical analysis. Algorithm and codes are clearly demonstrated with specific output which helps the readers for practical examination. Several pictorial demonstrations presented in this book will help the reader for easy understanding.
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