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Definition:
The probability examples of an event is the measure of how many times event will occur as a result of an experiment. Let us consider the probability of an event A (i.e P(A)) can be defined as the number of ways event A can occur divided by the total number of possible outcomes. The probability of an event A, symbolized by P(A) is given as,

P(A) =	The Number Of Ways EventACanOccur
	The total number Of Possible Outcomes

This is the formula for finding the probability of an event.
Whereas,
The Probability is the measure of how likely an event occurs, An event is one or more possible outcomes of an experiment, An outcome is the result of a single trial of an experiment, An experiment is a situation involving chance or probability that leads to results called outcomes.

Mutually Exclusive Events in Probability

A single event can have only one feasible outcome, once an outcome comes there will not be possible of getting other outcomes. This types of results from an event is known mutually exclusive events find probability problems and solutions.

Conditional Probability

Conditional probability is defined as the result of an event depends on the outcome of a preceding event; the Conditional probability of the outcome of a series of events is given as the product of the probabilities of the outcomes of the successive events.
P(A and B) = P(A) * P(B)
The probability of series of events P(A and B) is the product of probability of event A (ie:P(A)) and the probability of the event B (ie:P(B)).