if two events are mutually exclusive they do what?
3867
Mutually Exclusive Events Two events are mutually exclusive if they cannot occur at the same time. Another word that means mutually exclusive is disjoint. ... If two events are mutually exclusive, then the probability of either occurring is the sum of the probabilities of each occurring.
432506
If event A and event B cannot occur at the same time, then events A and B are said to be a) mutually exclusive. ... If either event A or event B must occur, then events A and B are said to be a) mutually exclusive.
544170
A and B are mutually exclusive events if they cannot occur at the same time. This means that A and B do not share any outcomes and P(A AND B) ... Therefore, A and C are mutually exclusive.
454497
- P(A and B) = 0 if two events are mutually exclusive, then the probability of either occurring is the same of the probabilities of each occurring. - If two events are mutually exclusive, they cannot be independent and vice versa.
621156
A and B are mutually exclusive events if they cannot occur at the same time. This means that A and B do not share any outcomes and P(A AND B) = 0. ... P(A AND B)=210 P ( A AND B ) = 2 10 and is not equal to zero.
233172
If Events A and B are mutually exclusive, P(A ∩ B) = 0. The probability that Events A or B occur is the probability of the union of A and B. The probability of the union of Events A and B is denoted by P(A ∪ B) .
506705
When two events, A and B, are mutually exclusive, it means that they cannot both occur at the same time. This would mean that the joint probability of A and B, as well as the conditional probabilities for A and B, are equal to 0.
1249670
Two events A and B are independent if the knowledge that one occurred does not affect the chance the other occurs. ... When events do not share outcomes, they are mutually exclusive of each other.
1338400
If the outcome of event A is not affected by event B, then events A and B are said to be a) mutually exclusive. ... If event A and event B cannot occur at the same time, then events A and B are said to be a) mutually exclusive. b) independent. c) collectively exhaustive.
1295570
Another word that means mutually exclusive is disjoint. If two events are disjoint, then the probability of them both occurring at the same time is 0. Disjoint: P(A and B) = 0. If two events are mutually exclusive, then the probability of either occurring is the sum of the probabilities of each occurring.
777961
Two events are mutually exclusive or disjoint if they cannot occur at the same time. ... If Events A and B are mutually exclusive, P(A ∩ B) = 0.
1349695
If two events are mutually exclusive, they are as dependent as two events can be. Take example of a coin. ... (EDIT: The above statements are True only if probabilities of two events are non-zero. If one of the probability is zero, then events are mutually exclusive and independent. )
125148
- If two events have no outcomes in common, the probability that one or the other occurs is the sum of their individual probabilities. ... Two events are mutually exclusive (disjoint) if they have no outcomes in common and so can never occur together.
888816
Yes, two events with nonzero probabilities can be both independent and mutually exclusive when their probabilities are equal. ... No, two events with nonzero probabilities cannot be independent and mutually exclusive because independence is the complement of being mutually exclusive.
518236
If two events are mutually exclusive, can they occur concurrently? Explain. No. By definition, mutually exclusive events cannot occur together.
1387861
Therefore, we see that a mutually exclusive pair of nontrivial events are also necessarily dependent events. ... Then if the two events are mutually exclusive, they can not be independent. If two events are independent, they cannot be mutually exclusive.
780301
Addition Rule 1: When two events, A and B, are mutually exclusive, the probability that A or B will occur is the sum of the probability of each event. ... The probability that A or B will occur is the sum of the probability of each event, minus the probability of the overlap. P(A or B)