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Enter Another Question

9/21/18

Two events A and B are _ if the occurrence of one does not affect the probability of the occurrence of the other.

Quesiton : Two events A and B are _ if the occurrence of one does not affect the probability of the occurrence of the other.



Answer: independent





Two events A and B are _ if the occurrence of one does not affect the probability of the occurrence of the other. Two events A and B are _ if the occurrence of one does not affect the probability of the occurrence of the other. Two events A and B are _____ if the occurrence of one does not affect the probability of the occurrence of the other. It's fair to say that two events are mutually exclusive if the occurrence of one depends on the other not happening. But if you thought that two events are mutually exclusive because the occurrence of one relays on the occurrence of the … The two events are independent because the occurrence of one does not affect the probability of the occurrence of the other . b . The probability that events A and B both occur is 0.000724 . Thus the occurrence of B does not affect the probability of A and vice versa. Although the derived expressions may seem more intuitive they are not the preferred definition as the conditional probabilities may be undefined if P ( A ) or P ( B ) are 0. Definition – Two events A and B are independent if the occurrence of one does not affect the probability of the occurrence of the other . If A and B are not independent they are said to be dependent. Several events are independent if the occurrence of any does not affect the probabilities of occurrence of the others. The first example we did involved independent events because the die is not ... If the occurrence of one event does not affect the occurrence of another event then the two events are mutually exclusive. Ans: False Response: See section 4.3 Structure of Probability Difficulty: Medium 9. Events are independent if the occurrence of one event does not influence (and is not influenced by) the occurrence of the other (s). For example: when tossing two coins the result of one flip does not affect the result of the other . Independence. One of the most important concepts in probability is that of independent events .. Two events E and F are independent if the occurrence of event E does not affect the probability of event F.. Let's look at a couple examples. Thu Feb 21 2013 00:00:00 GMT+0530 (IST) · the two events are dependent because the occurrence of one affects the probability of the occurrence of the other b )the two events are dependent because the occurrence of one does not affect the probability of the occurrence of the other

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