Fundamentals of Statistical Thinking: Tools and Applications

Yuly Koshevnik

ISBN 10: 1793579393 / ISBN 13: 9781793579393

Verlag: Cognella, Inc, 2022

Beschreibung

This item is printed on demand. New copy - Usually dispatched within 5-9 working days 216. Bestandsnummer des Verkäufers C9781793579393

Bibliografische Details

Titel: Fundamentals of Statistical Thinking: Tools ...

Verlag: Cognella, Inc

Erscheinungsdatum: 2022

Einband: Paperback / softback

Zustand: New

Über diesen Titel

Inhaltsangabe:

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.

Über die Autorin bzw. den Autor:

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.