Description :

"Computational Statistics: The Logic of Data Analysis Using SPSS" is a practical guide that combines a conceptual understanding of statistics with computational skills using SPSS (Statistical Package for the Social Sciences) software. This book is specifically designed for students in the Software Engineering Technology Study Program who require a strong statistical foundation and computer-based data analysis skills.

The book is divided into four main chapters. Chapter I introduces readers to the Basics of Statistics and Probability, covering statistical concepts and statistics, data types, probability concepts, and an introduction to the SPSS interface. Chapter II comprehensively discusses Data Presentation, from frequency tables to various forms of data visualization such as pie charts, bar charts, histograms, line charts, boxplots, and scatterplots, all of which are practiced directly using SPSS.

Chapter III explores Descriptive Statistics in depth, covering measures of central tendency (mean, median, mode) and measures of data dispersion (range, variance, standard deviation, coefficient of variation, quartiles), along with a step-by-step guide on how to use SPSS. Chapter IV discusses the Normality Test as a prerequisite for inferential statistical analysis, including the Kolmogorov-Smirnov, Shapiro-Wilk, and Skewness and Kurtosis Ratios.

Each chapter includes real-world case examples relevant to the world of information technology, practical exercises using SPSS, and independent assignments that encourage critical and analytical thinking. This book is suitable as a primary reference for Statistics and Probability courses at the Diploma 4 (D-IV) level, as well as a stand-alone reference for anyone seeking to master practical and systematic data analysis.