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Sep 18, 2024
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STAT 3333 - Statistical InferenceCredits: 3 Class: 3 Lab: 0
Corequisite(s): At least a grade of C in MATH 3302 OR at least a grade of C in DATA 2401 and enrollment in MATH 3302.
This course introduces the fundamentals of drawing conclusions about populations or scientific truths from sample data. Topics include point (e.g., method of moments and maximum likelihood, bias and variance, mean-squared error, uniformly minimum variance unbiased estimators, and Bayesian estimation 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.
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