RCEL 506 Module 6

What is the reason for using a Poisson distribution?

At which value of p, it is possible to assume that our hypothesis got extreme values and got rejected by mistake

An explanation of something that is based on a few known facts but that has not yet been proved to be true or correct

The hypothesis 𝐻_0 is true but is rejected; this error is called

This type of distribution belongs to the discrete variables with two possible outcomes.

In the Gaussian distribution, there are no other values after three standard deviations from the mean