9781516511624-151651162X-Fundamentals of Statistical Thinking: Tools and Applications

Fundamentals of Statistical Thinking: Tools and Applications

ISBN-13: 9781516511624
ISBN-10: 151651162X
Author: Koshevnik, Yuly
Publication date: 2017
Publisher: Cognella Academic Publishing
Format: Paperback 208 pages
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Book details

ISBN-13: 9781516511624
ISBN-10: 151651162X
Author: Koshevnik, Yuly
Publication date: 2017
Publisher: Cognella Academic Publishing
Format: Paperback 208 pages

Summary

Acknowledged authors Koshevnik, Yuly wrote Fundamentals of Statistical Thinking: Tools and Applications comprising 208 pages back in 2017. Textbook and eTextbook are published under ISBN 151651162X and 9781516511624. Since then Fundamentals of Statistical Thinking: Tools and Applications textbook was available to sell back to BooksRun online for the top buyback price or rent at the marketplace.

Description

Written for students with basic experience in college algebra and applied calculus, Fundamentals of Statistical Thinking: Tools and Applications familiarizes readers with fundamental concepts in statistical thinking in order to prepare them for specialized management courses such as econometrics and quantitative analysis.

The book is organized into four sections, each of which focuses on a common tool used in application. Chapters 1 through 4 discuss data analysis and summaries, with an emphasis on descriptive statistics and visualization. In Chapters 5 through 8 students learn about probability models and sampling distributions. Chapters 9 and 10 deal with statistical inferences, while Chapters 11 and 12 provide further applications for categorical data and simple linear regression models. Graphical illustrations support the written text and each chapter concludes with a visual summary.

Rooted in over ten years of classroom experience at both the undergraduate and graduate levels, Fundamentals of Statistical Thinking helps readers understand the importance of the main technical tools of statistical decision making, and explains when they can most appropriately be used for applied studies.

Yuly Koshevnik earned his Ph.D. in mathematical statistics at Moscow State University. Dr. Koshevnik worked as associate professor of statistical sciences at Southern Methodist University (1991-1996) and is currently a faculty member in the mathematical sciences department at the University of Texas, Dallas where he teaches courses in statistical decision making and probability and statistics for management and economics as well as in actuarial science.

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