Basic Statistical Methods and Models for the Sciences
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Designed for a first course for graduate students of medicine, biology, and other sciences, this text builds a practical foundation in the use of statistical tools and imparts a clear understanding of their underlying assumptions and limitations. Without getting bogged down in proofs and derivations, thorough discussions help readers understand why the stated methods and results are reasonable. The use of the statistical software Minitab is integrated throughout the book. The author emphasizes applications and the models appropriate to each problem while focusing on Monte Carlo methods, the Ce...
Designed for a first course for graduate students of medicine, biology, and other sciences, this text builds a practical foundation in the use of statistical tools and imparts a clear understanding of their underlying assumptions and limitations. Without getting bogged down in proofs and derivations, thorough discussions help readers understand why the stated methods and results are reasonable. The use of the statistical software Minitab is integrated throughout the book. The author emphasizes applications and the models appropriate to each problem while focusing on Monte Carlo methods, the Central Limit Theorem, confidence intervals, and power functions.
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