It depends on how independent the events are and on how much their result sets intersect.
A dependent probability.
They are "events that have the same probability". Nothing more, nothing less.
Independent events with a probability of zero
Probability theory, a branch of mathematics, is commonly used to describe chance or uncertainty. It provides a framework and language to study and quantify the likelihood of different outcomes or events occurring in a random or uncertain situation. The language of probability theory includes concepts such as probability, random variables, events, and probability distributions.
That probability is the product of the probabilities of the two individual events; for example, if event A has a probability of 50% and event B has a probability of 10%, the probability that both events will happen is 50% x 10% = 5%.
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.
You can calculate the probability of the outcome of events.
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Mutually exclusive events are considered two events that cannot coexist with one another, in other words, if the first event is happening the second just cannot. Determining the probability for mutually exclusive events can be done by using the formula P ( A and B ) = 0.
What is the difference between dependant and independent events in terms of probability
Independent events.
Independent Events