Statistics@MIT
Statistics 111 -- Introduction to Theoretical Statistics
Course Description: Basic concepts of statistical inference from frequentist and Bayesian perspectives. Topics include maximum likelihood methods, confidence and Bayesian interval estimation, hypothesis testing, least squares methods and categorical data analysis.

This class is at the Undergraduate level
Instructor: Yingying Fan
Prerequisites: Statistics 110 and Mathematics 19a and 19b (may be taken concurrently) or equivalent.

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