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Introduction to Statistical Inference
STAT 111

Course Information

Description

Introduction to the principles and methods of statistical inference, as a framework for achieving the three main goals of statistics: describing data and a phenomenon of interest, predicting one variable using another variable, and drawing causal conclusions about the effect of one variable on another. Frequentist and Bayesian perspectives on model building, learning from data, and making decisions under uncertainty. A three-pronged approach is emphasized, combining theory, simulation, and data. 

Course Notes

The following STAT 111 sections will meet in Maxwell-Dworkin in Spring 2026: D001: M 10:30-11:45am MD 234 D008: T 3-4:15pm MD 234 D014: Th 3-4:15pm MD 234 D017: F 1:30-2:45pm MD 234

School Faculty of Arts & Sciences
Credits 4
Cross Reg

Available for Harvard Cross Registration

Department Statistics
Course Component Lecture
Subject Statistics
Grading Basis FAS Letter Graded
Exam/Final Deadline May 13, 2026
General Education N/A
Quantitative Reasoning with Data Yes
Divisional Distribution Science & Engineering & Applied Science
Course Level For Undergraduate and Graduate Students