Listed in: Mathematics and Statistics, as MATH-135
Nicholas J. Horton (Section 01)
Introduction to Statistics via Modeling is an introductory statistics course that uses modeling as a unifying framework for much of statistics. The course provides a basic foundation in statistics with a major emphasis on constructing models from data. Students learn important concepts of statistics by mastering powerful and relatively advanced statistical techniques using computational tools. Topics include descriptive and inferential statistics, probability (including conditional probabilities and Bayes' rule), multiple regression and an introduction to causal inference. This is a more mathematically rigorous version of MATH 130 (students may not receive credit for both MATH 130 and MATH 135). Four class hours per week (two will be held in the computer lab).
Requisite: MATH 111. Limited to 24 students. Spring Semester. Professor Horton.
If Overenrolled: preference will be given to Mathematics majors