This foundational textbook introduces a broad array of statistical techniques commonly used in social and behavioral research. Adapted from earlier works by Runyon & Haber, the third edition adds current real-world case studies and emphasizes data interpretation and SPSS-based computer analysis
A compact yet comprehensive guide to the matrix methods foundational to modern statistical analysis, including regression and multivariate techniques. The second edition refines explanations, extends difficult topics, and adds a chapter on vectorising, matrix calculus, and complex numbers—making it accessible yet thorough for engineers, biologists, social scientists, and statisticians alike
A concise introduction to core business statistics, blending theoretical concepts with spreadsheet-based data analysis. Designed for MBA and executive-level courses, it emphasizes decision-making through topics like probability distributions, sampling, regression, forecasting, quality control, and Monte Carlo simulation. Accompanied by a student CD-ROM for hands-on application
This book provides a rigorous introduction to the principles of probability theory and stochastic processes. It presents foundational material in a clear and concise way, covering classical probability, discrete and continuous random variables, limit theorems, and an introduction to Markov chains and Poisson processes. Designed for undergraduate and beginning graduate students.