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In this lecture, we will discuss various types of probability distributions and the events they describe. Some distributions have a finite number of outcomes (discrete distributions), while others have infinitely many outcomes (continuous distributions). We will analyze common distributions and focus on their important aspects and use cases. Proper notation for defining distributions involves the variable name followed by the tilde sign and a capital letter representing the distribution type and dataset characteristics.
