Discrete
Assuming that "piossion" refers to Poisson, they are simply different probability distributions that are applicable in different situations.
The triangular, uniform, binomial, Poisson, geometric, exponential and Gaussian distributions are some that can be so defined. In fact, the Poisson and exponential need only the mean.
Yes.
There is no such thing. The Normal (or Gaussian) and Binomial are two distributions.
Discrete
discrete & continuous
Assuming that "piossion" refers to Poisson, they are simply different probability distributions that are applicable in different situations.
The binomial distribution is a discrete probability distribution. The number of possible outcomes depends on the number of possible successes in a given trial. For the Poisson distribution there are Infinitely many.
Poisson and Binomial both the distribution are used for defining discrete events.You can tell that Poisson distribution is a subset of Binomial distribution. Binomial is the most preliminary distribution to encounter probability and statistical problems. On the other hand when any event occurs with a fixed time interval and having a fixed average rate then it is Poisson distribution.
The triangular, uniform, binomial, Poisson, geometric, exponential and Gaussian distributions are some that can be so defined. In fact, the Poisson and exponential need only the mean.
If you're studying a subject involving or related to statistics and probability, then it will. If you're not, then it won't.
Yes.
There is no such thing. The Normal (or Gaussian) and Binomial are two distributions.
In parametric statistical analysis we always have some probability distributions such as Normal, Binomial, Poisson uniform etc.In statistics we always work with data. So Probability distribution means "from which distribution the data are?
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.
No.