(a) What are the smallest and largest values possible for a discrete distribution function f (x)? (b)...
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(a) What are the smallest and largest values possible for a discrete distribution function f (x)?
(b) What are the smallest and largest values possible for a continuous distribution function f (x)?
(c) What are the smallest and largest values possible for a cumulative distribution function F(x)?
(d) What is f (x), and what is F(x)? What is the difference between the two?
(e) What does discrete probability have in common with data analysis?
Which common measures do we have?
(f) How do you calculate P(a < X ≤ b) from F(x)?
(g) What is the relation between P(X > a) and P(X ≤ a)?
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Related Book For
The Bayesian Way Introductory Statistics For Economists And Engineers
ISBN: 9781119246879
1st Edition
Authors: Svein Olav Nyberg
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