Course Overview
Topics:
basic probability theory, distributions and properties,
sampling methods, EDA, estimation, hypothesis tests, regression,
experimental design, transform methods, model construction, and
joint distributions.
Assumed Background:
The course assumes a basic
understanding of linear algebra and calculus, as covered in
MATH1051. It is a student's own responsibility to fill in any gaps
in their assumed knowledge.
Probability Models and Data Analysis (STAT2203/7203 Semester 2, 2022) - Lecture 1.1
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