The number of customers visiting a store during a day is a random variable with mean EX

Question:

The number of customers visiting a store during a day is a random variable with mean EX = 100 and variance Var(X) = 225.

1. Using Chebyshev's inequality, find an upper bound for having more than 120 or less than 80 customers in a day. That is, find an upper bound onP(X  80 or X  120).

2. Using the one-sided Chebyshev inequality (Problem 21), find an upper bound for having more than 120 customers in a day.


Problem 21

Let X be a random variable with EX = 0 and Var(X) = σ2. We would like to prove that for any a > 0, we haveP(X a)  0  + a

This inequality is sometimes called the one-sided Chebyshev inequality. One way to show this is to use P(X ≥ a) = P(X +c ≥ a+c) for any constant c ∈ R.

Fantastic news! We've Found the answer you've been seeking!

Step by Step Answer:

Question Posted: