Understanding Statistical Analysis and Modeling is for readers in the social, behavioral, or managerial sciences mathematics to understand the logic of statistical analysis. Robert Bruhl covers all the basic methods of descriptive and inferential statistics in an accessible manner by way of asking and answering research questions. Concepts are discussed in the context of a specific research project and the book includes probability theory as the basis for understanding statistical inference. Instructions on using SPSS� are included so that readers focus on interpreting statistical analysis rather than calculations. Tables are used, rather than formulas, to describe the various calculations involved with statistical analysis and the exercises in the book are intended to encourage students to formulate and execute their own empirical investigations.

Review:

"This is a well-thought out and designed text that gives students an open and accessible introduction to the concepts and techniques necessary for conducting social science research."

Author: Scott Comparato

"This book presents the opportunity for those teaching statistics to present probability theory in a non-intrusive manner, allowing students to move beyond their fears of probability theory and access one of the most important aspects of really understanding statistics."

Author: Robert J. Eger III

"This text takes a refreshing approach to presenting statistical concepts in a methodologically rigorous yet meaningful way that students will intuitively grasp."

Author: Brian Frederick

"This text has a competitive edge over similar textbooks. I strongly recommend it to students who want to have a clear understanding of how to develop good research questions and select statistical techniques appropriate in answering the research questions."

Author: Benjamin C. Ngwudike

"Readers will be surprised how much they are learning about statistics and statistical analysis as they read this book. The author presents mathematical concepts by first starting with the familiar and gently guiding the reader in more unfamiliar territory."

Author: John David Rausch, Jr.

"This book provides a thorough introduction to statistics. End-of-chapter exercises and SPSS� tutorials will greatly enhance students′ abilities to transfer skills learned in the classroom to real-world problems."

Author: Christopher Larimer

"Functional and straightforward. A comprehensive introduction to statistics!"

Author: Derrick Bryan

"This is a remarkable book that integrates examples, SPSS� tutorials, and exercises. The chapters provide an in-depth analysis of the key concepts. This book is an essential resource for advanced-level undergraduate students and graduate students in the study of statistical analysis."

Author: Prachi Kene

"An enjoyable read. The book has the potential to promote numeracy among the general public, and serve as a resource in statistics education."

Author: Michael Raisinghani

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Understanding Statistical Analysis and Modeling

Bruhl, Robert

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