STAT 3333 - Statistical Inference

Credits: 3 Class: 3 Lab: 0
Prerequisite(s): At least a grade of C in MATH 3302
This course introduces the fundamentals of drawing conclusions about populations or scientific truths from sample data. Topics include point estimation (method of moments, least squares, maximum likelihood, mean-squared error, and Bayesian methods), confidence interval construction (likelihood-based, inversion methods, intervals based on pivots, Bayesian credible and highest posterior density regions, and resampling based intervals), and hypothesis testing (likelihood ratio, Bayesian, and resampling techniques). After taking this course, students will understand the broad directions of statistical inference and will make informed choices in analyzing data.