By Gabriel Okello
Dr. Gabriel Okello, faculty member at the School of Science and Technology has published a book titled Simplified Business Statistics Using SPSS. The book, published by Taylor & Francis Group and CRC Press provides a practical approach for better understanding of the statistical concepts that are applied in business, economics and other areas of data analytics.

The book offers a 21st century approach to learning by first introducing the through examples, then rigorously explaining the theoretical concepts with the use of formulas, and thereafter showing the application of these statistical concepts to the real world using examples with application in SPSS statistical software using different data sets.

The book will be a guide to better understanding of statistical concepts especially to Business and Management students, Economics students, Business Analytics students and other professionals with varied backgrounds who use statistics to present data and make decisions or those who want to perform data analysis.

The book can be used as a very useful reference for postgraduate and high level courses for undergraduate and other researchers who require guidance in data analysis. The book will have simplified statistical content and a step by step guide on how to apply the statistical concepts by performing analysis using SPSS together with interpretation of the statistical analysis output.

The book will offer a more practical approach to the principles of statistics. The book is organized into for parts: Part 1: Introduction to Statistical Analysis; Part 2: Probability Concepts; Part 3: Introduction to Statistical Inference Concepts and Methods; and Part 4: Special Topics in Statistical Analysis.

Some of the book’s key features include:

• Theoretical statistical concepts;
• Manual computations of the statistical concepts;
• Practical applications of the statistical concepts in SPSS;
• Application of the different statistical concepts in relation to data analytics
• Step by step procedures for conducting data analysis;
• A wide range of data sets to be used for examples and illustrations;
• Sample exercises and solutions to those exercises at the end of each chapter.