Statistical Inference — computing a one-sided t-statistic

Let $x_1,x_2,…,x_9$ be a random sample from Normal distribution $N(\mu,\sigma^2)$, $\mu$ and $\sigma$ are unknown parameters, $\mu\in\mathbb{R},\sigma>0$. The observed values of $\bar x=\frac{\sum_{i=1}^9 x_i}{9}=9.8$ and $\frac{1}{8}\sum_{i=1}^9(x_i-\bar x)^2=1.69$. If LRT is used to test $H_0:\mu=8.8$ versus $H_1:\mu>8.8$, then what is the calculated value of the statistic?