Q1: Let X be a random variable with probability density function (PDF) given byFind the following:1) P(x ≤ 1/2)2) P(x ≥ 0)3) P(1.2 ≤ x ≤ 2)Compute CDF4)5) Plot CDFfor 0≤x≤12- x, for 1 < x≤2otherwisex,Mer={2-4.f(x) =

CDF : integration of the probability density function is known as CDF.

Q1: Let X be a random variable with probability density function (PDF) given by Find the following: 1) P(x ≤ 1/2) 2) P(x20) 3) P(1.2 ≤ x ≤ 2) 4) Compute CDF 5) Plot CDF for 0 ≤ x ≤ 1 2- x, for 1 < x≤ 2 otherwise x, Mer={2-4. f(x) =

Q1: Let X be a random variable with probability density function (PDF) given by Find the following: 1) P(x ≤ 1/2) 2) P(x20) 3) P(1.2 ≤ x ≤ 2) 4) Compute CDF 5) Plot CDF for 0 ≤ x ≤ 1 2- x, for 1 < x≤ 2 otherwise x, Mer={2-4. f(x) =

College Algebra

7th Edition

ISBN:9781305115545

Author:James Stewart, Lothar Redlin, Saleem Watson

Publisher:James Stewart, Lothar Redlin, Saleem Watson

Chapter9: Counting And Probability

Section9.3: Binomial Probability

Problem 2E: If a binomial experiment has probability p success, then the probability of failure is...

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