Let $S_n$ be the number of successes in $n$ Bernoulli trials with probability $p$ for success on each trial. Show, using Chebyshev's Inequality, that for any $\epsilon>0$
$$
P\left(\left|\frac{S_n}{n}-p\right| \geq \epsilon\right) \leq \frac{p(1-p)}{n \epsilon^2} .
$$