The Poisson distribution is discrete.
They are probability distributions!
discrete & continuous
Half the discrete unit.
A discrete probability distribution is defined over a set value (such as a value of 1 or 2 or 3, etc). A continuous probability distribution is defined over an infinite number of points (such as all values between 1 and 3, inclusive).
The binomial probability distribution is discrete.
The Poisson distribution is discrete.
They are probability distributions!
No. Normal distribution is a continuous probability.
discrete & continuous
Half the discrete unit.
A discrete probability distribution is defined over a set value (such as a value of 1 or 2 or 3, etc). A continuous probability distribution is defined over an infinite number of points (such as all values between 1 and 3, inclusive).
the empirical rules of probablility applies to the continuous probability distribution
A discrete random variable (RV) can only take a selected number of values whereas a continuous rv can take infinitely many.
You may need to make a continuity correction - see statistical text books for details.
Discrete probability is probability in the context of random variables that can only take a discrete number of values. In the work environment there are some events that can have discrete outcomes and others that are continuous. For example, the number of customers in a day (or month) is a discrete variable. The amount that each one spends on your products is discrete. But the time interval between them is not. So the role that any kind of probability could play depends on what you wish to study.
Normal distribution is the continuous probability distribution defined by the probability density function. While the binomial distribution is discrete.