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AP Statistics Probability Flashcards

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7617866435ProbabilityA number between 0 and 1 that reports the likelihood of the event's occurrence.0
7617866436TrialA single attempt1
7617866437OutcomeValue measured, observed, or reported for an individual instance of the trial2
7617866438complement of A1-P(A)3
7617866439IndependenceIf knowing whether one event occurs does not alter the probability that the other event occurs.4
7617866440Law of Large NumbersLong-run relative frequency of repeated independent events becomes close to actual frequency as number of trials increases.5
7617866442Disjoint (Mutually Exclusive)They share no outcomes in common.6
7617866443General Addition Rule (not mutually exclusive)P(A U B) = P(A) + P(B) - P(A intersect B)7
7617866444Multiplication Rule of Independent EventsP(A) * P(B)8
7617866445Sample SpaceThe collection of all possible outcome values9
7617866446Conditional ProbabilityP(B | A) = P(A intersect B)/P(A)10
7617866447Law of AveragesA flawed way of thinking that if an event doesn't happen for a while that it is due to occur soon.11
7617907522reverse conditioning (baye's rule)P(A|B) = P(B|A)*P(A)/P(B)12
7617929465General Addition Rule (mutually exclusive events)P(A U B) = P(A) + P(B)13
7617936758Multiplication rule of dependent eventsP(A|B)*P(B) = P(A intersect B)14
7618004528Probability DistributionLists all possible outcomes of a random event and each outcome's probabilities15
7618014226disjointaka mutually exclusive16
7618020833P(at least 1)1-P(none)17
7618041795venn diagrama helpful diagram to draw when you have events that are not mutually exclusive.18
7618081150Two Way TableA table that lists counts for 2 categorical variables that is helpful with conditional probabilities.19
7618103830P(A|B)Probability of event A given that event B occurs.20
7618147669Tree Diagram21
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