Course
Probability & Applied Statistics
Foundational probability theory, counting principles, discrete distributions, and computational modeling with Python labs and lecture slides.
Labs
Lab 01
Chapter 3: Probability FundamentalsA computational manual bridging classical probability theory and Python implementation. Designed for precise study, rigorous computation, and step-by-step lecture review.
Lab 02
Addition Rules & Counting PrinciplesA computational manual covering mutually exclusive events, the general addition rule, table counts, factorials, permutations, and combinations in Python.