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. This is an online – asynchronous course.
Upon completion of this course, you should be able to:
- Construct quantitative and qualitative models that describe real world phenomena.
- Compare various statistical techniques in order to solve problems and make decisions.
- Analyze the assumptions of various statistical procedures.
- Apply the descriptive procedures and inferential statistical tests.
- Interpret the descriptive and inferential results.
- Examine God’s natural order in light of mathematical understanding.
Prerequisite Courses: 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 502 Abstract Algebra (Spring 2020 & Late Spring 2021)
Math 504 Real Analysis (Summer I 2020 & Summer I 2021)
Math 501 Linear Algebra (Summer II 2020 & Summer I 2021)
Math 505 Statistical Methods (Fall 2020 & Summer II 2021)
Math 506 Modern Geometry (Late Fall 2020)
Math 503 Advanced Calculus (Spring 2021)