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)"
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