STAT 270 Study Guide - Final Guide: Cumulative Distribution Function, Random Variable, Jargon
21 Feb 2019
School
Department
Course
Professor
Document Summary
7 october 2015: we nished slide 16 of discrete distributions", in the text we have just started 4. 2, problems from text: 4. 02, 4. 05, 4. 06, 4. 08, 4. 26b, 4. 33, 4. 39, handwritten slides, key jargon, ideas: I de ned the cumulative distribution function (cdf) of a random vari- able x and focused on discrete x. I presented the basic properties of a cdf f : for all x. 0 f (x) 1: f (x) is a non-decreasing function of x, f is right continuous and has left limits, we have the limits and lim x . For discrete x the cdf jumps up by p(x) at each x which is a possible value of x. I de ned expected value for a discrete random variable x using two possible notations: and. E(x) = x = x x p(x). x.
