CS 70 Note 18

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CS 70 Discrete Mathematics and Probability Theory

Spring 2015 Vazirani Lecture 18

Chebyshevs Inequality

Problem: Estimating the Bias of a Coin

Suppose we have a biased coin, but we dont know what the bias is. To estimate the bias, we toss the coin

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n times and count how many Heads we observe. Then our estimate of the bias is given by p n Sn , where

Sn is the number of Heads in the n tosses. Is this a good estimate? Let p denote the true bias of the coin,

which is unknown to us. Since E(Sn ) np, we see that the estimator p has the correct expected value:

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