The experiment to break a stick of unit length into $n$ pieces at random can be considered as follows.
Let us consider a circle of unit length and choose $n$ points on the circle at random and independently one from another. We obtained $n$ arcs between neighboring points. By symmetry, all arc lengths are equally distributed. The lengths are mesured in some predefined direction - say. clockwise. After that let us break the circle in the last chosen point. We get a stick of unit length and rest $n-1$ points that break this stick into $n$ equally distributed parts.
The probability that the largest part is greater than $1/2$ is the probability that all poins in the circle lie in the same semicircle. This probability can be found by splitting this event into $n$ disjoint events.
Let $A_i$ be the event that all points lie clockwise from the $i$th point, and all arc lengths are less then $1/2$.
The events $A_1,A_2,\ldots, A_n$ are disjoint and have equal probabilities
$$
\mathbb P(A_i) = \frac{1}{2^{n-1}}.
$$
The probability that all poins in the circle lie in the same semicircle (event $A$) is then
$$
\mathbb P(A)=\mathbb P(A_1\cup \ldots\cup A_n)=\frac{n}{2^{n-1}}.
$$
This is the probability that one of the breaks is longer in length than $\frac12$.
The general formula for determining the probability that at least one break is longer than length $x$ can be found in W.Feller book "An Introduction to Probability Theory and Its Applications". Vol.2, Chapter I, paragraph 9, Theorem 3. It provides the probability of opposite event "all breaks are less than smth".
Theorem 3. Let the interval $\overline {0,t}$ be partitioned into $n$ subintervals by choosing independently at random $n-1$ points $X_1,\ldots,X_{n-1}$ of division. The probability $\varphi_n(t)$ that none of this subintervals is of length exceeding $a$ equals
$$
\varphi_n(t)= \sum_{v=0}^n (-1)^v {n\choose v}\left(1-v\frac{a}{t}\right)^{n-1}_{+}.
$$
Here
$$(x)_+^n=\begin{cases}x^n, & x>0 \\ 0, & x \leq 0\end{cases}.$$
The theorem is proved in this book by reсurrence relations.
If $t=1$, the probability that at least one break is longer than length $x$ is equal to
$$
1-\sum_{v=0}^n (-1)^v {n\choose v}\left(1-v\frac{x}{t}\right)^{n-1}_{+}=\sum_{v=1}^n (-1)^{v+1} {n\choose v}\left(1-v\frac{a}{t}\right)^{n-1}_{+}.
$$