$$\begin{align} P\left(\left| \bar{Y}+X_n-\mu\right| \ge \delta \right) &\le P\left( \left|\bar{Y}-\mu\right| \ge \frac{\delta}{2} \cup \left|X_n\right| \ge \frac{\delta}{2} \right) \tag{1} \\ & \le P\left( \left|\bar{Y}-\mu\right| \ge \frac{\delta}{2} \right) + \left( \left|X_n\right| \ge \frac{\delta}{2} \right) \tag{2} \end{align}$$
I don't know how to get the right hand side of (1).
I do know that by the triangle inequality: $$\left| \bar{Y}+X_n-\mu\right|\le \left| \bar{Y}-\mu\right| + \left|X_n\right|$$ But am unsure how that translate in terms of probability. This is the first time I am seeing such an application of the triangle inequality and my text simply states it without further explanation. Please advice.
Also, would such an inequality hold if the relation in $P(\dots)$ was $\le$ instead?