STAT 2510 Lecture Notes - Lecture 8: Random Variable
8 Feb 2017
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E is event, then p(e) represents probability of e occurring. F/n number of ways event can occur: special addition rule (must be exclusive events) A and b are mutually exclusive (no overlap) Using these three to find probability: . 167+. 068+. 042=. 227 27. 7: complementation rule. Used when p(compliment) is easier to compute: general addition rule. If a and b are any two events then: p(a or b)=p(b) +p(a)-p(a+b) Random variable quantitative variable whose value depends on chance. Discrete random variable random variable whose values can be listed. Random variable: random selection from population, ex. Number of siblings chosen from a few out of a group: unknowable outcome, ex. Probability distribution listing of possible values and corresponding probabilities or a formula of probability. Probability histogram graph with drv values horizontal and probability vertical. **general addition rule is consistent with the special addition rule: in special addition rule.
