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mgf_color.pdf
Problem 6.5.8. Let $Y_1, Y_2, \ldots, Y_n$ be independent random variables each with the Bernoulli $B(p)$ distribution, for some $p \in(0,1)$.
- Show that the mgf $m_{W_n}(t)$ of the random variable
\[
W_n=\frac{Y_1+Y_2+\cdots+Y_n-n p}{\sqrt{n p(1-p)}},
\]
can be written in the form
\[
m_{W_n}(t)=\left(p e^{\frac{t}{\sqrt{n}} \alpha}+(1-p) e^{-\frac{t}{\sqrt{n}} \alpha^{-1}}\right)^n,\tag{6.5.1}
\]
for some $\alpha$ and find its value. - Write down the Taylor approximations in $t$ around 0 for the functions $\exp \left(\frac{t}{\sqrt{n}} \alpha\right)$ and $\exp \left(-\frac{t}{\sqrt{n}} \alpha^{-1}\right)$, up to and including the term involving $t^2$. Then, substitute those approximations in (6.5.1) above. What do you get? When $n$ is large, $\frac{t}{\sqrt{n}} \alpha$ and $\frac{t}{\sqrt{n}} \alpha^{-1}$ are close to 0 and it can be shown that the expression you got is the limit of $m_{W_n}(t)$, as $n \rightarrow \infty$.
- What distribution is that limit the mgf of?
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