Multivariate techniques are fundamental to research analysis--but their mathematical derivations are often overwhelming to students. This exciting new book takes a gentle approach that introduces students to the various multivariate techniques used in business without intimidation: The author uses geometry to illustrate concepts so students understand the various techniques and their application. Matrix algebra and proofs can also be used by referring to the appendices of the chapters. Each technique is discussed analytically using a small data set and hand calculations. This gives students a clearer understanding of the technique. Students learn how to interpret the results form these two popular statistical packages.
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This exciting new book takes a gentle approach that introduces students to the various multivariate techniques used in business without intimidation: The author uses geometry to illustrate concepts so students understand the various techniques and their application. Matrix algebra and proofs can also be used by referring to the appendices of the chapters. Each technique is discussed analytically using a small data set and hand calculations.
This gives students a clearer understanding of the technique. Students learn how to interpret the results from these two popular statistical packages. The chapter-ending pedagogy includes exercises with data sets that reinforce concepts.
It offers detailed answers to all end of chapter exercises, including computer output for questions which require students to perform data analysis. An additional set of examination questions with answers are also provided in the manual. Synopsis This book focuses on when to use the various analytic techniques and how to interpret the resulting output from the most widely used statistical packages e. Description Includes bibliographical references p. Fundamentals of Data Manipulation.
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