QTM 100: Introduction to Statistical Inference
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, and regression. By the end of the course, students should be able to:
(1) Understand the effect of study design on interpretation of results
(2) Identify appropriate statistical methods when presented with new data
(3) Read and interpret basic statistical literature of various sources, from newspaper articles to academic journals
(4) Use R as a tool to perform statistical analysis
The class consists of two weekly lectures and a lab session. The lectures introduce statistical concepts and theory and the lab session applies those lessons using the statistical software R. Algebra is the only prerequisite for the course.
*The following departments require QTM100 as a part of their major coursework: Anthropology, Biology, Educational Studies, Environmental Sciences (major prerequisite), Human Health, NBB, Political Science, Psychology, and Sociology
Students who receive a 4 or 5 on the AP Statistics exam may receive general credit towards the 124 academic hours for graduation; however, the course does not substitute for QTM 100 or any requirements in the QSS major.