Foundations of Statistical Analysis

This course provides a comprehensive introduction to statistical analysis for quantitative data, combining theoretical concepts with practical applications through various software programs (e.g., SAS, G*Power, and nQuery). Students will learn core methods such as descriptive statistics, hypothesis testing, t-tests, ANOVA, chi-square tests, and correlation, along with an introduction to advanced topics like regression, moderation, mediation, sample size calculation, and handling missing data. Emphasis is placed on interpreting statistical results, data visualization, and communicating APA-style results.