Publisher's Synopsis
This text relies less on developing exact statistical theory and more on motivating the need for results. It emphasises model building, data analysis and interpretation. This makes it particularly suitable for students with limited statistical background and non-mathematics and statistics students.;There is extensive SAS output in the book, used as a convenient way to present regression results and avoiding some of the tedious number crunching. The book can be used by those who do not have SAS available, however, there are optional sections that teach how to write SAS programs or work SAS exercises that will implement virtually every technique in the text.;There are numerous real data sets and realistic examples included in the text material and chapter ending exercises. These show students how they will actually use the techniques presented in the text in their daily lives.;This edition has been significantly reorganized and now contains seven more chapters.;This book should be of interest to courses in applied regression analysis, analysis of variance and experimental design, taken by undergraduates in mathematics, statistics, operations research, computer science, business, engineering and the sciences.
