I got this one for my assignment. And didn´t quite follow.

One question I have is if we need a set of observations to calculate distributions? Or can we calculate based of the df and X?

"Probability density function of the most important distributions.

For example, type: help chi2

Calculate then the probabilities of point X ∼ X^2 - df=2 . Find P(X < 0.1) and X ∼ X^2 - df = 6 . Find P(X > 10)"