Elementary Statistics Tables

Elementary Statistics Tables

Elementary Statistics Tables

These tables have been carefully prepared for the many users of statistical analysis at an introductory level. The enthusiastic reception accorded to the author's Statistics Tables (George Allen & Unwin, 1978) by specialist statisticians highlighted the need for a briefer set of tables to be tailored to the requirements of students who have to use statistical analysis but with no greater commitment to it than is represented by a basic and often brief introductory course. Both the coverage and the presentation of this set of tables have been determined with great care. In contrast with competing sets at this level, the content should match closely the requirements of users, who have little mathematical background. The book is a positive teaching and learning aid, not just a stark and impenetrable reference item. Most of the tables are accompanied by fully explanatory introductory text and by some examples of use. Each table has been designed and laid out carefully for maximum clarity and ease of use, features which the large page size should also reinforce. There are many new or improved tables, some being much more extensive than in competing books. In view of the increasing recognition of nonparametric tests for their convenience, ease of use and wide application, the tables covering these tests should provie especially valuable. These tables should serve the needs of all users of elementary techniques of statistical analysis, from engineers and technicians to geographers and social scientists. All students taking first courses in statistical analysis will find them an invaluable aid.

Elementary Statistics Tables

This book, designed for students taking a basic introductory course in statistical analysis, is far more than just a book of tables. Each table is accompanied by a careful but concise explanation and useful worked examples. Requiring little mathematical background, Elementary Statistics Tables is thus not just a reference book but a positive and user-friendly teaching and learning aid. The new edition contains a new and comprehensive "teach-yourself" section on a simple but powerful approach, now well-known in parts of industry but less so in academia, to analysing and interpreting process data. This is a particularly valuable enabler to personnel who are not qualified in traditional statistical methods to actively contribute to quality-improvement projects. The second edition also includes a much-improved glossary of symbols and notation.