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Statistical Methods, The Geometric Approach
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This text is a novel exposition of the traditional workhorses of statistics: analysis of variance and regression. It is a novel in that it presents this core material for the first time in a consistent visual way. The exposition is aimed at students of any discipline who need to learn this material. The approach is based on the geometric methods uses by the founder of modern-day statistics, Sir Ronald Fisher. The text uses geometry to link the statistical methods of the underlying mathematics, while real-life case studies link theory and practice. Each new situation is introduced by a detailed...
This text is a novel exposition of the traditional workhorses of statistics: analysis of variance and regression. It is a novel in that it presents this core material for the first time in a consistent visual way. The exposition is aimed at students of any discipline who need to learn this material. The approach is based on the geometric methods uses by the founder of modern-day statistics, Sir Ronald Fisher. The text uses geometry to link the statistical methods of the underlying mathematics, while real-life case studies link theory and practice. Each new situation is introduced by a detailed analysis of a case study, including assumption checking and presentation of results. Computing is simply carried out in Minitab. The book is well illustrated with diagrams and graphs, and includes class exercises and a wealth of practical exercises. Readers can expect to benefit from a deeper understanding of statistical methods and their applications to real problems.