Math 546 Applied Statistics I (Graduate)

An introduction to the foundations and applications of statistics. Topics include basic concepts of data collection sampling and experimental design, descriptive analysis and graphical displays of data, probability concepts and expectations, normal and binomial distributions, sampling distributions and the Central Limit Theorem, confidence intervals and hypothesis testing, likelihood-based statistics, ANOVA, correlation and simple linear regression.

Prerequisite: There are no prerequisites for this course, though having had a single statistics course at any level may be beneficial. The material in this course is most applicable to high school teachers and junior high teachers in STEM fields.

Related Offerings:
Math 527 Applied Linear Algebra (Fall 2022)
Math 546 Applied Statistics I (Winter/Spring 2022)