It is dependent.
Both are measures of the likelihood of events.
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.
probably means that something or which is not sure . LIKE :- I PROBABLY GET THIS ANSWER RIGHT.
They are independent, because the probability of the first event does not affect the probability of the second event.
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%.
Both are measures of the likelihood of events.
It shows us the likelihood of the occurrence of specified events.
The likelihood of an occurrence is called its probability.Other terms associated with probability are chance, risk, and possibility.
They are both measures of the likelihood of events whose outcome is not normally known.
Both are measures of the likelihood of events whose outcome is uncertain.
The answer depends on whether or not the events are independent.
Probability is the area of mathematics that deals with the likelihood of events. The term probability indicates the likelihood of a given event occurring. A single event is a possible outcome of an experiment, such as drawing an ace from a deck of cards. A compound event is a combination of two or more single events, such as drawing an ace from a deck of cards four times in a row.
It may or may not be - it depends on the events.
It depends on whether or not the events are independent.
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.
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.
It depends on whether or not the events are independent.