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Statistical Analysis Techniques, Volume 2

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Building on the foundation established in volume 1 of Statistical Analysis Techniques, this second volume delves deeper into advanced statistical techniques, providing comprehensive guidance for st...
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  • 02 June 2026
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Building on the foundation established in volume 1 of Statistical Analysis Techniques, this second volume delves deeper into advanced statistical techniques, providing comprehensive guidance for students and researchers working with SPSS Statistical Software. In addition to the continuation of statistical analysis topics, this volume includes valuable supplementary materials, such as references to support further study and additional statistical tables for practical application.

The book serves as both an instructional guide and a reference manual, making it a vital resource for students, researchers, and professionals in business and economics. Its emphasis on practical implementation, coupled with its clear integration of SPSS examples, empowers readers to strengthen their data analysis skills and make data-driven decisions in an increasingly analytics-focused world.

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Price: $120.00
Pages: 344
Publisher: Emerald Publishing Limited
Imprint: Emerald Publishing Limited
Publication Date: 02 June 2026
ISBN: 9781806862641
Format: Hardcover
BISACs: BUSINESS & ECONOMICS / Statistics, Data science and analysis, BUSINESS & ECONOMICS / Management Science, BUSINESS & ECONOMICS / Economics / General, Business and Management, Economics
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Aziz Akgül is a Professor of Business Administration at OSTIM Technical University in Ankara, Türkiye. He completed an MBA from Middle East Technical University and an MS from the U.S. Naval Postgraduate School. He earned his Ph.D. from the Business Department of Ankara University's Faculty of Political Sciences. He has served as a Senior Advisor to the Prime Minister, President of Small and Medium Enterprises Development Organization (KOSGEB), and as a Member of the Turkish Grand National Assembly.

Chapter 1. Hypothesis Testings with Three or More Population Groups
Chapter 2. Simple Regression
Chapter 3. Multiple Regression and Curve Estimation
Chapter 4. Correlation Analysis
Chapter 5. Analysis of Covariance
Chapter 6. Logistic Regression
Chapter 7. Discriminant Analysis
Chapter 8. Factor Analysis
Chapter 9. Reliability Analysis