(a) Consider the repeated and independent tossing of a die with probability 7 of a head at each toss. Denote by T the number of tosses until the occurrence of the first head. For a constant, b, find an upper bound for the probability that T lies within V1-T of its expected value. Comment. (b) The number of customers visiting a store during a day is a random variable with mean EX = 100 and variance Var(X) = 225. (i) Find an upper bound for the probability of having more than 120 or less than 80 customers in a day. (ii) Derive an upper bound for having more than 120 customers in a day. Comment.

A First Course in Probability (10th Edition)
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ISBN:9780134753119
Author:Sheldon Ross
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Chapter1: Combinatorial Analysis
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(a) Consider the repeated and independent tossing of a die with probability 7 of a head
at each toss. Denote by T the number of tosses until the occurrence of the first head.
For a constant, b, find an upper bound for the probability that T lies within V1-T
of its expected value. Comment.
(b) The number of customers visiting a store during a day is a random variable with
mean EX = 100 and variance Var(X) = 225.
(i) Find an upper bound for the probability of having more than 120 or less than
80 customers in a day.
(ii) Derive an upper bound for having more than 120 customers in a day. Comment.
Transcribed Image Text:(a) Consider the repeated and independent tossing of a die with probability 7 of a head at each toss. Denote by T the number of tosses until the occurrence of the first head. For a constant, b, find an upper bound for the probability that T lies within V1-T of its expected value. Comment. (b) The number of customers visiting a store during a day is a random variable with mean EX = 100 and variance Var(X) = 225. (i) Find an upper bound for the probability of having more than 120 or less than 80 customers in a day. (ii) Derive an upper bound for having more than 120 customers in a day. Comment.
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