Principles of Statistics: Data Analysis and Visualization

Statistical textbook describing the general linear model of statistics, including descriptive statistics, covariance, correlation, correlation ratio, the phi and chi square coefficients, regression analysis, coded regression analysis, tests of statistical significance, ANOVA, MANOVA, factor analysis, canonical analysis and more. The description of methods of statistical analysis is complemented by a step-by-step analysis of minute data matrices consisting of different arrangements of numbers 1 2 3 4 5 and by simplified examples of real-life research projects to minimize anxiety, improve learning, and maximize interest in quantitative scientific investigations This is a statistical textbook for the computer age, where the methods of analysis and procedures for interpretation of data are conceptualized by using the paradigm defining statistics as a modern successor of epistemology, an integral part of the nomological network of scientific investigations. The authors of textbooks on statistics seldom show you how the analysis is actually done. They often try to impress you with their tremendous cleverness by going about it in the most difficult way. This book describes the core algorithms of the general linear model of statistics, from simple to advanced, which will show you how the data analysis is really done.