Description: This course will address the teaching and learning of the following content areas: collecting and displaying data, descriptive statistics, counting techniques, discrete and geometric probability, conditional probability, simulation, random variables, expected value and variance of a random variable, probability distributions, correlation, regression, and estimation. Cannot be used for the M.S. Mathematics or M.S. Statistics degrees. Letter grade only.
Sections offered: Fall 2019
Prerequisite: Admission to the Master of Science in Mathematics Education program