Discrete case: In order to generate a number x from a discrete variable X-fx(x), let r be a random number from the uniform (0;1) distribution. Then x is the smallest number such that Σ fx(i) ≥ r, i.e., F(x) = r. ASSIGNMENT: Generate 10 random numbers from the binomial (12;0,4) distribution.

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter10: Sequences, Series, And Probability
Section10.8: Probability
Problem 19E
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Discrete case: In order to generate a number x from a discrete variable X ~ fx(x), let
r be a random number from the uniform (0;1) distribution. Then x is the smallest
fx(i) ≥ r, i.e., F(x) = r.
number such that Σ
ASSIGNMENT: Generate 10 random numbers from the binomial (12;0,4)
distribution.
Transcribed Image Text:Discrete case: In order to generate a number x from a discrete variable X ~ fx(x), let r be a random number from the uniform (0;1) distribution. Then x is the smallest fx(i) ≥ r, i.e., F(x) = r. number such that Σ ASSIGNMENT: Generate 10 random numbers from the binomial (12;0,4) distribution.
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