Discrete probability distribution is the events are those with a finite number of outcomes and the two conditions are that the each value is between 0 and 1, and the sum of all values is 1.
According to the statement
we have to explain all about the discrete probability distribution and its two conditions which determine that the this probability is a probability distribution.
So, For this purpose, we know that the
Discrete events are those with a finite number of outcomes
And this is other way that we defines that the A discrete probability distribution counts occurrences that have countable or finite outcomes. This is in contrast to a continuous distribution, where outcomes can fall anywhere on a continuum.
The main example of this is Binomial.
And the two conditions of the probability distribution is :
- The probability of each value of the discrete random variable is between 0 and 1, inclusive
- and the sum of all the probabilities is 1.
So, Discrete probability distribution is the events are those with a finite number of outcomes and the two conditions are that the each value is between 0 and 1, and the sum of all values is 1.
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