The complement of an event occurring is that it does not occur.
"one third" is not an event and so cannot have complement nor a probability.
An event is an outcome or set of outcomes of an experiment. For example, if you want a coin to land on heads when you are flipping it, and it DOES land on heads, THAT is the event. If it lands on tails, that outcome is the complement
{1,3}
The complement is 60 degrees.
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 of an event is: all other possible outcomes of the repective experiment.
Event A denotes the complement of event A, meaning that Ā consists of all outcomes in which event A does not occur. Event A and Ā must be disjoint, because it is impossible for an event and its complement to occur at the same time.
The complement of an event occurring is that it does not occur.
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 A is "not A" or "anything but A".
"one third" is not an event and so cannot have complement nor a probability.
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?
If the probability of an event is p, then the complementary probability is 1-p.
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.
An event is an outcome or set of outcomes of an experiment. For example, if you want a coin to land on heads when you are flipping it, and it DOES land on heads, THAT is the event. If it lands on tails, that outcome is the complement