The probability of the complement of an event, i.e. of the event not happening, is 1 minus the probability of the event.
The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.
If the probability of an event is p, then the complementary probability is 1-p.
I haven't heard of a component with regards to statistics. If, by chance, you are referring to the complement, it is the probability that the event does not occur. In this case, the complement would be 0.58.
The probability of event X is 0.3. If events X and Y are complements, what is the probability of event Y?
It depends on the events. The answer is 0.5*(Total number of events - number of events with probability = 0.5) That is, discount all events such that their probability (and that of their complement) is exactly a half. Then half the remaining events will have probabilities that are greater than their complement's.
The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.
The complement of an event occurring is that it does not occur.
If the probability of an event is p, then the complementary probability is 1-p.
I haven't heard of a component with regards to statistics. If, by chance, you are referring to the complement, it is the probability that the event does not occur. In this case, the complement would be 0.58.
"one third" is not an event and so cannot have complement nor a probability.
The probability of event X is 0.3. If events X and Y are complements, what is the probability of event Y?
It depends on the events. The answer is 0.5*(Total number of events - number of events with probability = 0.5) That is, discount all events such that their probability (and that of their complement) is exactly a half. Then half the remaining events will have probabilities that are greater than their complement's.
The probability of an event that is as likely as not to happen is 0.5, or 50%. This means there is an equal chance of the event occurring or not occurring. In probability terms, it indicates that the event has the same likelihood as its complement.
Well, isn't that just a happy little question! When we talk about the probability of an event not occurring, we're looking at the complement of that event. To find this probability, we simply subtract the probability of the event happening from 1. Remember, there are always happy accidents in math, so don't be afraid to explore and make mistakes along the way!
0.97. Just take it away from 1
The probability of an event and the probability of its complement add up to 1 because they represent all possible outcomes of a random experiment. The event encompasses all scenarios where the event occurs, while the complement includes all scenarios where the event does not occur. Since these two scenarios cover every possible outcome without overlap, their probabilities must sum to 1, reflecting the certainty that one of the two must happen.
With the information that is available from the question, it is impossible.