Quantitative Theory and Methods

Quantitative Theory and Methods introduces basic descriptive and inferential statistics. Emphasis is on using statistics as an everyday, universal tool to address questions in virtually all areas of research.

Quantitative Theory and Methods 100

Introduction to Statistical Inference with Laboratory


Fall, Spring. Credit, Four hours. QTM100 provides an introduction to descriptive and inferential statistics. It is designed as a gateway course, with emphasis on practice and implementation. The course introduces probability, sampling distributions, interval estimation, hypothesis testing, ANOVA, regression, and nonparametric tests. The class consists of lectures and a weekly lab session. The lectures introduce statistical concepts and theory, and the lab session applies those lessons using the statistical software R.

The following departments require QTM100 as a part of their major coursework: neuroscience and behavioral biology, psychology, anthropology, educational studies, human health, and sociology.