The primary goal of Essentials of Business Statistics is to illustrate an accurate view of business statistics in a way that students can easily understand. This is achieved in the following ways: New statistical topics and tools are introduced by using continuing case studies. This approach helps to alleviate student anxiety in learning new concepts and enhances overall comprehension Streamlined and clarified coverage of graphical and numerical methods New graphically based procedures for finding confidence intervals and performing hypothesis tests Increased emphasis on Excel and MINITAB with improved and updated step-by-step instructions in the end of chapter material Connect Business Statistics homework management

Regression Analysis: Unified Concepts, Practical Applications, Computer Implementation is a concise and innovative book that gives a complete presentation of applied regression analysis in approximately one-half the space of competing books. With only the modest prerequisite of a basic (non-calculus) statistics course this text is appropriate for the widest possible audience including college juniors, seniors and first-year graduate students in business and statistics, as well as professionals in business and industry. The book is able to accommodate this wide audience because of the unique, integrative approach that is taken to the teaching of regression analysis. Whereas other regression books cover regression in four chapters, beginning with a statistical review, followed by chapters on simple linear regression, matrix algebra and multiple regression, this book introduces regression and covers both simple linear regression and multiple regression in single cohesive chapter. This is made possible through an efficient, integrative discussion of the two techniques. Additionally, in the same chapter (Chapter Two) basic statistical and matrix algebra concepts are introduced as needed In order to facilitate instruction. This approach avoids the needless repetition that is often found in longer treatments of the subject, while serving to bring a collective focus to students of widely varying mathematical backgrounds.

The primary goal of Essentials of Business Statistics is to illustrate an accurate view of business statistics in a way that students can easily understand. This is achieved in the following ways: New statistical topics and tools are introduced by using continuing case studies. This approach helps to alleviate student anxiety in learning new concepts and enhances overall comprehension Streamlined and clarified coverage of graphical and numerical methods New graphically based procedures for finding confidence intervals and performing hypothesis tests Increased emphasis on Excel and MINITAB with improved and updated step-by-step instructions in the end of chapter material Connect Business Statistics homework management

Regression Analysis: Unified Concepts, Practical Applications, Computer Implementation is a concise and innovative book that gives a complete presentation of applied regression analysis in approximately one-half the space of competing books. With only the modest prerequisite of a basic (non-calculus) statistics course this text is appropriate for the widest possible audience including college juniors, seniors and first-year graduate students in business and statistics, as well as professionals in business and industry. The book is able to accommodate this wide audience because of the unique, integrative approach that is taken to the teaching of regression analysis. Whereas other regression books cover regression in four chapters, beginning with a statistical review, followed by chapters on simple linear regression, matrix algebra and multiple regression, this book introduces regression and covers both simple linear regression and multiple regression in single cohesive chapter. This is made possible through an efficient, integrative discussion of the two techniques. Additionally, in the same chapter (Chapter Two) basic statistical and matrix algebra concepts are introduced as needed In order to facilitate instruction. This approach avoids the needless repetition that is often found in longer treatments of the subject, while serving to bring a collective focus to students of widely varying mathematical backgrounds.