Type-II error probability in normal test

Let $X_1, X_2, \dots, X_{25}$ be a random sample from a $N(\mu, 1)$ distribution, where $\mu\in\mathbb{R}$ is unknown. Consider testing of the hypothesis $H_0: \mu=5.2$ against $H_1: \mu=5.6$. The null hypothesis is rejected if and only if $\frac{1}{25}\sum_{i=1}^{25} X_i > k$, for some constant $k$. If the size of the test is $0.05$, then the probability of type-II error equals __________ (round off to $2$ decimal places)