STT 4811 - Probability and Statistical Concepts, Applications, and Modeling I (3)

When Offered: Fall
This course introduces students to probability and statistical concepts, applications, modeling, and some theory at the post-calculus level. Topics include: characteristics of datasets, univariate descriptive statistics, probability and sampling distributions, univariate inferential statistics including statistical significance and estimation, randomness in data collection, and relevant axiomatic probability. Concepts will be developed using simulation, with some comparisons to theory, and applications will focus on statistical problem-solving. The course will introduce prospective teachers to the content and pedagogy recommended by the National Council of Teachers of Mathematics’ Standards and the American Statistical Association’s Guidelines with regard to statistics and probability at an introductory level.

Prerequisite: MAT 1120 .