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Sep 01, 2025
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2025-2026 Undergraduate Hill Book
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MTH 396 - Probability and Statistics II3 Credits
Offered Spring
This course focuses on the theory and application of statistics. Topics include the concepts of random sampling, statistical inference and sampling distributions, and apply basic sampling distributions; theory and application of methods of estimation including matching moments, percentile matching, and maximum likelihood; theory and use of the properties of estimators including bias, variance, mean squared error, consistency, efficiency, and UMVUE; confidence intervals for unknown parameters, including the mean, differences of two means, variances, and proportions; hypothesis testing for mean, variance, contingency tables, and goodness-of-fit, including the concepts of Neyman-Pearson lemma, significance and power, likelihood ratio test, and information criteria.
Prerequisite(s)/Restriction(s): MTH 395 - Probability and Statistics I
Core Curriculum Attribute(s): Quantitative Reasoning
Course Applies to: Data Analytics Minor
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