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PBHL 400 Introduction to Statistical Inference 4.0 Credits

This course will introduce the theoretical framework of commonly used statistical methods, making connections between probability theory and providing context to understand when statistical methods can be used appropriately. Topics include exponential family probability distributions, conditional distributions and independence, expectations and transformations, point and interval estimation, maximum likelihood estimation, hypothesis testing and likelihood ratio tests.

College/Department: Dornsife Sch of Public Health/Epidemiology Biostatistics
Repeat Status: Not repeatable for credit
Prerequisites: MATH 122 [Min Grade: C] and (PBHL 210 [Min Grade: C] or STAT 201 [Min Grade: C] or HSCI 345 [Min Grade: C])