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Informationen zum Autor Ruth Ravid is Professor, National College of Education, National-Louis University, Illinois. She is the author of Practical Statistics for Educators , Third Edition (University Press of America, 2005); co-author of Workbook to Accompany Practical Statistics for Educators , Third Edition (University Press of America, 2005); and co-editor of The Many Faces of School-University Collaboration: Characteristics of Successful Partnerships (Teacher Idea Press, 2001). Ravid holds a M.A. and a Ph.D. in Education from Northwestern University. Perry Haan is Associate Professor of Marketing and Dean of the School of Business at Tiffin University, Ohio. He has authored or co-authored over thirty peer-reviewed articles published in academic journals and conference proceedings. Haan hold a D.B.A. from the University of Sarasota, a M.B.A. from Xavier University, and a B.S. from The Ohio State University. Klappentext This innovative new approach to statistics simplifies concepts for those using them in the business world. The book discusses the basics of statistics starting with an introduction to business research. It explores how and why to apply statistics to business research. The text covers all relevant descriptive statistics, normal curves and standard scores; correlation; regression; and inferential statistics. It also includes a section on validity and reliability. The book ends with a section on using statistics in a research study and testing students' ability to identify when to use each statistical test. Inhaltsverzeichnis Part 1 Preface Part 2 I: Introduction Chapter 3 An Overview of Business Research Chapter 4 Basic Concepts in Statistics Part 5 II: Descriptive Statistics Chapter 6 Organizing and Graphing Data Chapter 7 Measures of Central Tendency Chapter 8 Measures of Variability Part 9 III: The Normal Curve and Standard Scores Chapter 10 The Normal Curve and Standard Scores Chapter 11 Interpreting Test Scores Part 12 IV: Measuring Relationships Chapter 13 Correlation Chapter 14 Prediction and Regression Part 15 V: Inferential Statistics Chapter 16 t Test Chapter 17 Analysis of Variance Chapter 18 Chi Square Test Part 19 VI: Reliability and Validity Chapter 20 Reliability Chapter 21 Validity Part 22 VII: Conducting Your Own Research Chapter 23 Planning and Conducting Research Studies Chapter 24 Choosing the Right Statistical Tests Part 25 List of Statistical Symbols Part 26 Glossary Part 27 Index ...
