The Poisson distribution is discrete.
It can be.
x
If this is the only information that you have then you must use the Poisson distribution.
discrete & continuous
The Poisson distribution is discrete.
It can be.
Yes.
A poisson process is a non-deterministic process where events occur continuously and independently of each other. An example of a poisson process is the radioactive decay of radionuclides. A poisson distribution is a discrete probability distribution that represents the probability of events (having a poisson process) occurring in a certain period of time.
Poisson distribution shows the probability of a given number of events occurring in a fixed interval of time. Example; if average of 5 cars are passing through in 1 minute. probability of 4 cars passing can be calculated by using Poisson distribution. Exponential distribution shows the probability of waiting times between occurrences of events. If we use the same example; probability of a car coming in next 40 seconds can be calculated by using exponential distribution. -Poisson : probability of x times occurrence -Exponential : probability of waiting times between events.
x
For the binomial, it is independent trials and a constant probability of success in each trial.For the Poisson, it is that the probability of an event occurring in an interval (time or space) being constant and independent.
Assuming that "piossion" refers to Poisson, they are simply different probability distributions that are applicable in different situations.
If this is the only information that you have then you must use the Poisson distribution.
discrete & continuous
Lulla diference
No. There are 24 hours in a day, not 12!