A dependent probability.
Equally likely events.
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.
Independent Events
A dependent event. Or rather, a dependent event is one whose probability of occurrence is affected by previous events. For instance, drawing a card from a deck is affected by previous draws, if there's no replacement.
Independent events with a probability of zero
equiprobable events.
Equally likely events.
The two events are said to be independent.
It depends on how independent the events are and on how much their result sets intersect.
It can be called a "conditional probability", but the word "conditional" is irrelevant if the two events are independent.
They are "events that have the same probability". Nothing more, nothing less.
That's the probability that both events will happen, possibly even at the same time. I think it's called the 'joint' probability.
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.