The goal of this book is to help students develop skills of scientific inferences by the use of what Anderson calls "the experimental pyramid." He does not place the usual emphasis on null hypothesis testing, and also de-emphasizes computational formulas
Inhaltsverzeichnis
Contents: Scientific Inference. Statistical Inference. Elements of ANOVA-I. Elements of ANOVA-II. Factorial Design. Repeated Measures Design. Understanding Interactions. Confounding. Regression and Correlation. Frequency Data and Chi-Square. Single Subject Design. Nonnormal Data and Unequal Variance. Analysis of Covariance. Design Topics I. Design Topics II. Multiple Regression. Multiple Comparisons. Sundry Topics. Foundations of Statistics. Math Models for Process Analysis. Toward Unified Theory. Principles & Tactics for Writing. Lifelong Learning. Basic Statistical Concepts.
