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Academic & Professional Books  Reference  Data Analysis & Modelling  Data Analysis & Statistics

Basic Statistical Methods and Models for the Sciences

Textbook Handbook / Manual
By: Judah Rosenblatt
282 pages, Figs, tabs
Publisher: CRC Press
Basic Statistical Methods and Models for the Sciences
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  • Basic Statistical Methods and Models for the Sciences ISBN: 9781584881476 Hardback Dec 2002 Usually dispatched within 6 days
Selected version: £69.99
About this book Contents Customer reviews Related titles

About this book

Designed to be used in a first course 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.


Introduction. Models, Measurements, and Sampling. Representative Samples. Descriptive Statistics. Basic Probability. Introduction to Statistical Estimation. Testing Univariate Statistical Hypotheses. Confidence Limits Approach to Testing-Multiple. Introduction to Regression Models.

Customer Reviews

Textbook Handbook / Manual
By: Judah Rosenblatt
282 pages, Figs, tabs
Publisher: CRC Press
Media reviews
Rosenblatt writes for introductory (non-calculus-based) courses in statistics that offer a clear understanding of statistical procedures together with underlying assumptions and limitations. The author brings a fresh approach to the understanding of statistical concepts by integrating throughout Minitab software, providing valuable insight into computer simulation and problem-solving techniquesRosenblatt clearly treats the subject matter by carefully wording the explanations and by having readers work with computer-generated data with properties specified by readers. Numerous solved examples; exercises; epilogue with extensions of topics covered. An interesting and useful book. Recommended. - CHOICE This text attempts to address the needs of those who use statistics but are not statisticians. Writing such a text poses two challenges. The first challenge is to present mathematically complex ideas in such a way as to engender an intuitive understanding of the concepts without relying on mathematical detail or rigor. The second is to ground these concepts in application, to show how and why they are important from a practical standpointthe book is successful on both points" - TECHNOMETRICS
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