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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 Central Limit Theorem, confidence intervals, and power functions.
Offers an understanding of how mathematics is developed for and applies to solving scientific and engineering problems. This book stresses the construction of mathematical descriptions of scientific and engineering situations rather than memorization of proofs and formulas.
Suitable for a first course for graduate students of medicine, biology, and other sciences, this title builds a practical foundation in the use of statistical tools and imparts an understanding of their underlying assumptions and limitations. This title helps readers understand why the stated methods and results are reasonable.
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