https://www.podbean.com/media/share/pb-z2yn8-1b6a98a

Professor Peterson reviews measures of central tendency and variation, then walks through the scientific method and how hypotheses guide data analysis. He explains quantitative versus qualitative approaches and the role of mixed methods.

The episode introduces correlation and regression, contrasts descriptive associations with experimental causation, and summarizes common tests (t-tests, ANOVA) plus considerations about variable types, Likert scales, and nonparametric methods for categorical data.