Yes. And that is true of most probability distributions.
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Yes. Most do.
Assuming that "piossion" refers to Poisson, they are simply different probability distributions that are applicable in different situations.
It is a function which is usually used with continuous distributions, to give the probability associated with different values of the variable.
Yes. Normal (or Gaussian) distribution are parametric distributions and they are defined by two parameters: the mean and the variance (square of standard deviation). Each pair of these parameters gives rise to a different normal distribution. However, they can all be "re-parametrised" to the standard normal distribution using z-transformations. The standard normal distribution has mean 0 and variance 1.
The mean, median, and mode are all measures of central tendency. For symmetrical distributions they all have the same value. For assymetrical distributions they have different values. The mean is the average and the mode is the most likely value.