Correlations and t-tests

This course builds on foundational concepts from Introduction to Statistical Concepts and Describing Data and focuses on examining relationships and comparing group means in healthcare data. Students will learn to calculate and interpret correlation coefficients, conduct independent sample t-tests and ANOVA, and evaluate the assumptions underlying these techniques. Practice examples using healthcare data will help reinforce the relevance of these tests for everyday decision-making in clinical and research environments.