Practical Statistics with SPSS

This book provides a comprehensive introduction to parametric and non-parametric statistics for students, researchers, lecturers, and practitioners. It covers fundamental concepts of descriptive statistics, hypothesis testing, correlation, regression, ANOVA, normality testing, and population analysis. A major focus of the book is the practical application of statistical methods using SPSS. Readers are guided through commonly used procedures, including Binomial, Chi-Square, Kolmogorov-Smirnov, Runs, McNemar, Sign, Mann-Whitney, Friedman, Kruskal-Wallis, Spearman Rank, and various ANOVA and regression analyses. The book also connects statistical theory with research methodology and real-world case studies, helping readers understand how to select appropriate tests, formulate hypotheses, interpret statistical results, and draw conclusions from research data. Designed as a practical reference for higher education, this book supports both theoretical understanding and hands-on statistical analysis. Its broad coverage makes it suitable for undergraduate and postgraduate courses, research projects, theses, dissertations, and academic research using SPSS.