Let \( X_{1}, \ldots, X_{n} \stackrel{i i d}{\sim} \operatorname{Ber}(p) \). We want to test
\[
\begin{array}{l}
H_{0}: \quad p \leq .5 \\
H_{1}: \quad p>.5
\end{array}
\]
at asymptotic level \( 5 \% \). Let \( \psi \) be the Wald test.
1) Assume that the true \( p \) is equal to 0.2 . What is the limit of \( \mathbf{P}_{0.2}[\psi=1] \) as \( n \rightarrow \infty \) ?
\[
\lim _{n \rightarrow \infty} \mathbf{P}_{0.2}[\psi=1]=
\]
\( \square \)
2) For every \( \lambda>0 \) we can show that
\[
\lim _{n \rightarrow \infty} \mathbf{P}_{.5-\frac{\lambda}{\sqrt{n}}}[\psi=1]=\mathbf{P}[Z>1.645+f(\lambda)]
\]
where \( f(\lambda) \) is a function that depends only on \( \lambda \). What is this function?
\[
f(\lambda)=
\]
\( \square \)