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This textbook provides a thorough treatment of major statistical methods and techniques for both statisticians and non-statisticians requiring a strong foundation in applied statistics. The basic ideas of inference from data, the principle of fitting models by least squares, and careful interpretation of results are stressed to provide the student with a firm grounding in the principles and procedures of statistics. This edition retains the well-respected clarity and comprehensive coverage of previous editions while including modern topics, computer output and analysis, and updated real-world data sets. The text includes an extensive chapter on the principles of experimental design and continues to serve as an excellent reference source for research workers.
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