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Exercise


Jun 28'24

Answer

Solution: E

The expected number of pennies in a single roll equals [math]\mu = 49.8 [/math] and the variance equals [math]\sigma^2 = 0.36 [/math]. In particular, the net loss for [math]n[/math] rolls is approximately normally distributed with mean [math]0.2n[/math] and variance [math]n\sigma^2[/math]. Hence the probability of a net loss equals

[[math]]P(Z \geq \frac{-0.2n}{\sigma \sqrt{n}}) = P(Z \geq \frac{-\sqrt{n}}{3})[[/math]]

where [math]Z[/math] is a standard normal variable. The 1th percentile for a standard normal equals -2.326, hence we need

[[math]] \frac{\sqrt{n}}{3} \geq 2.326 \implies n \geq 48.69 [[/math]]

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