3. Suppose that X is a discrete random variable with probability mass function (pmf) as summarized in the table below. -3 f(x) 0.35 0.25 0.4 Find the cumulative distribution function (cdf) F(r) of X. You may either write F(x) as a piecewise defined function or sketch a graph of F(x). Also, no work is required to be shown in this problem.
3. Suppose that X is a discrete random variable with probability mass function (pmf) as summarized in the table below. -3 f(x) 0.35 0.25 0.4 Find the cumulative distribution function (cdf) F(r) of X. You may either write F(x) as a piecewise defined function or sketch a graph of F(x). Also, no work is required to be shown in this problem.
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
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
Transcribed Image Text:3.
Suppose that X is a discrete random variable with probability
mass function (pmf) as summarized in the table below.
-3
f(x) 0.35 0.25 0.4
Find the cumulative distribution function (cdf) F(x) of X.
You may either write F (x) as a piecewise defined function or sketch a
graph of F(x). Also, no work is required to be shown in this problem.
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