MATH 505 Statistical Methods I (Graduate)
This applied statistics course presents a variety of statistical topics in the context of real world data. The goal of this course is to demonstrate the broad applicability of advanced statistical techniques. Topics include probability, inferences for one and two sample means, inferences for more than two sample means, inferences for one and two sample proportions, multiple- comparison procedures, and nonparametric methods.
Prerequisite: A bachelor’s degree with a Mathematics major or must be state certified (in any state) to teach Mathematics at a secondary school level.
Math 501 Linear Algebra (Summer II 2022 & Summer I 2023)
Math 502 Abstract Algebra (Summer I 2022 & Summer II 2023)
Math 503 Advanced Calculus (Winter/Spring I 2023)
Math 504 Real Analysis (Winter/Spring II 2022 & Winter/Spring II 2023)
Math 505 Statistical Methods I (Fall I 2022)
Math 506 Modern Geometry (Fall II 2022)