9780787900380-0787900389-Training Physicians: The Case of Internal Medicine (JOSSEY BASS/AHA PRESS SERIES)

Training Physicians: The Case of Internal Medicine (JOSSEY BASS/AHA PRESS SERIES)

ISBN-13: 9780787900380
ISBN-10: 0787900389
Edition: 1
Author: Ronald M. Andersen, Claire H. Kohrman, Mary Margaret Clements
Publication date: 1994
Publisher: Jossey-Bass
Format: Hardcover 504 pages
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Book details

ISBN-13: 9780787900380
ISBN-10: 0787900389
Edition: 1
Author: Ronald M. Andersen, Claire H. Kohrman, Mary Margaret Clements
Publication date: 1994
Publisher: Jossey-Bass
Format: Hardcover 504 pages

Summary

Training Physicians: The Case of Internal Medicine (JOSSEY BASS/AHA PRESS SERIES) (ISBN-13: 9780787900380 and ISBN-10: 0787900389), written by authors Ronald M. Andersen, Claire H. Kohrman, Mary Margaret Clements, was published by Jossey-Bass in 1994. With an overall rating of 4.1 stars, it's a notable title among other books. You can easily purchase or rent Training Physicians: The Case of Internal Medicine (JOSSEY BASS/AHA PRESS SERIES) (Hardcover) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.46.

Description

This First Edition of Statistics moves the curriculum in innovative ways while still looking relatively familiar. Statistics utilizes intuitive methods to introduce the fundamental idea of statistical inference. These intuitive methods are enabled through statistical software and are accessible at very early stages of a course. The text also includes the more traditional methods such as t-tests, chi-square tests, etc., but only after students have developed a strong intuitive understanding of inference through randomization methods.The text is designed for use in a one-semester introductory statistics course. The focus throughout is on data analysis and the primary goal is to enable students to effectively collect data, analyze data, and interpret conclusions drawn from data. The text is driven by real data and real applications. Although the only prerequisite is a minimal working knowledge of algebra, students completing the course should be able to accurately interpret statistical results and to analyze straightforward data sets.
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