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Learn fundamental concepts of probability theory through an in-depth lecture covering sets, sample spaces, and events. Explore the mathematical foundations necessary for understanding probability and statistics, including set theory operations, the construction of sample spaces for random experiments, and the identification and classification of various types of events. Master essential terminology and notation used in probability theory while developing a strong theoretical framework for more advanced statistical concepts.
Syllabus
ProbStats-S23 L1
Taught by
UofU Data Science