please dont copy the content from other sources Compute the total variation distance betweenP = Ber (p)and Q = Ber (g), where p, q € [0, 1] .(If applicable, enter abs(x) for |æ|.)TV (P, Q) =Let X1....,X, be n i.i.d. Bernoulli random variables with some parameter p e [0,1], and X, be their empirical average. Consider the totalvariation distance TV (Ber (X,), Ber (p))between Ber (X) and Ber (p) as a function of the random variable Xm, and hence a random variable itself.Does TV (Ber (X), Ber (p)) necessarily converge in probability to a constant? If yes, enter the constant below; if not; enter DNE.(P)TV (Ber (X,), Ber (p))n00STANDARD NOTATION

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Description: please dont copy the content from other sources Compute the total variation distance betweenP = Ber (p)and Q = Ber (g), where p, q € [0, 1] .(If applicable, enter abs(x) for |æ|.)TV (P, Q) =Let X1....,X, be n i.i.d. Bernoulli random variables with so

Introduction: The probability mass function (p.m.f) of Bernoulli distribution is as given below:

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Compute the total variation distance between

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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