Title: Basic statistical methods and models for the sciences
First published: 2002
Description: "Designed for a first course in statistics for graduate or upper-level undergraduate students, Basic Statistical Methods and Models 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, giving readers valuable experience with computer simulations and problem-solving techniques. The author focuses on applications and the models appropriate to each problem while emphasizing Monte Carlo methods, the Central Limit Theorem, confidence intervals, and power functions.".

"The text assumes some degree of maturity in mathematics, but it does not require the use of calculus. This, along with its very clear explanations, generous number of exercises, and demonstrations of the extensive uses of statistics in diverse areas of application make Basic Statistical Methods and Models highly accessible to readers in a wide range of disciplines."--BOOK JACKET.
Subjects: Statistical methods, Science, Statistics, Statistics & numerical data, Sciences, Methodes statistiques, Statistiques, Statistik, Méthodes statistiques, SCIENCE / Study & Teaching, Statistics as Topic
LC classification: QA276.12 .R672 2002, QA276.12 .R672 2002