Mathematics

Mathematics, 24.07.2019 06:30, sosa71

Conditional probability refers to the probability of one event, given that another event has occurred. options: true false

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Mathematics, 17.07.2019 20:30, pashon35

Conditional probability refers to the probability of one event, given that another event has occurred. question options: true false

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Mathematics, 03.08.2019 04:30, viviansotelo12

What statements are correct? check all that apply. the conditional probability formula is p(x │ y) = . the conditional probabilities p(d │ n) and p(n │ d) are equal for any events d and n. the notation p(r │ s) indicates the probability of event r, given that event s has already occurred. conditional probability applies only to independent events. conditional probabilities can be calculated using a venn diagram.

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Mathematics, 04.08.2019 18:50, sindy35111

Which two statements about conditional probability are true? a. conditional probability, p of a, is the probability that event a will occur. b. conditional probability, p of a given b, is the probability that both events a and event b occur will occur. c. conditional probability, p of a given b, is the probability of event a occurring given that event b has occurred. d. the probability that it is raining outside is an example of conditional probability. e. the probability that it is both raining and cloudy outside is an example of conditional probability. f. the probability that it is raining if we already know it is cloudy outside is an example of conditional probability.

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Mathematics, 13.11.2019 06:31, idunno456

Abasketball player who shoots 80% from the free throw line attempts 2 free throws. let event a be a made first attempt and event b be a made second attempt. which statement about the conditional probability is true? 1 the conditional probability of event b given event a is p(b|a)=p(b) when two events are not independent. 2 the conditional probability of event b given event a is p(b|a)=p(b)p(a) when two events are independent. 3 the conditional probability of event b given event a is p(b|a)=p(a)p(b) when two events are independent. 4 the conditional probability of event b given event a is p(b|a)=p(a and b)p(a) when two events are not independent.

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