STA220H1 Lecture Notes - Lecture 5: Venn Diagram, Conditional Probability, Marginal Distribution
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STA220H1 Full Course Notes
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Scatterplot provides a case-by-case view of the data for two numeric variables. Correlation, p- a numeric degree of linear dependence. Positive - as x increases, y increases. Negative - as x increases, y decreases. 0: no linear relationship between x and y. Random: individual outcomes are uncertain, but there is a structure to how often outcomes occur in a very large number of repetitions. Probability distributions are mathematical models to describe what happens in the long run with outcomes of random experiments. The probability of the complement of e is the probability that the event e does. Using partial information (from a), to update our probability of b: Probability of an event and its notation. The probability e from a random experiment: If two events, a, b are independent, then. P(a b) or p(a and b): joint probability. The event b has no effect on the probability of a.
