Joint Probability
canadian pharmacy online levitra Joint probability can be defined as the occurring of more than one event at the same time. It can also be defined as the likelihood of occurring of multiple events at one time.
Example of Joint
Probability
In order to understand the concept of joint probability let’s take an example of two events A and B. The joint probability of these two events A and B is shown as P (A, B). In order to calculate the joint probability we have to multiply the individual probabilities of these two events A and B. The individual probability of the even A is shown as p (A) where as the individual probability of even B is shown as p (B).
For example, suppose a statistician wishes to know the probability that the number five will occur twice when two dice are rolled at the same time. Since each die has six possible outcomes, the probability of a five occurring on each die is 1/6 or 0.1666.
P(A)=0.1666
P(B)=0.1666
P(A,B)=0.1666 x 0.1666)=0.02777
This means the joint probability that a five will be rolled on both dice at the same time is 0.02777
Why Joint Probability is Important
Joint Probability is one of the most important and widely used tools for the analyst and statisticians for observing probability phenomenon that are going to occur simultaneously.
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