Consider $n$ points generated randomly and uniformly on a unit square. What is the expected value of the area (as a function of $n$) enclosed by the convex hull of the set of points?
Update: By a result of Buchta (Zufallspolygone in konvexen Vielecken, Crelle, 1984; available on digizeitschriften.de) there is a general formula for this expected value, it is $$1 \frac{8}{3(n+1)} \bigl( \sum_{k=1}^{n+1} \frac{1}{k} (1  \frac{1}{2^k})  \frac{1}{(n+1)2^{n+1}} \bigr) $$ yielding (starting with $n=3$): $11/144$, $11/72$, $79/360$, $199/720$, and so on. The paper contains in fact a more general result, where the problem is solved for any convex $m$gon; not just the square. For asymtotics see other answer(s).  Old version (highly incomplete and wrong guess) For $n=3$ the expected value is $11/144$ and for $n=4$ it is $11/72$. This information is taken from a somewhat recent paper (2004) by Johan Philip where the respective distribution functions are studied in detail. I did not see any mention of exact values for other small values of $n$ there (the asymptocic result given already is mentioned though), so they might be unknown. 


For any convex set $K$ in dimension $d$ with volume $V(K)$, it is aymptotically $$V(K)\frac{T(K)}{(d+1)^{d1}(d1)!}n^{1}ln(n)^{d1}+O(n^{1}ln(n)^{d2}ln(ln(n)))$$ (see {New perspectives in stochastic geometry} by W. Kendall and I. Molchanov, p. 49) where $T(K)$ is the number of "flags", i.e. of sequences $f_0\subset f_1 \subset ... \subset f_{d1}$ where $f_i$ is an $i$dimensional facet. There is an abundant literature for random convex hulls and if you're interested there might be an exact closed formula for the square. 


Let $A$ be the expected area. Then: $$\lim_{n \rightarrow \infty} \frac{n}{\ln n} (1  A) = \frac{8}{3} \;.$$ This can be found in many places, e.g., this MathWorld article. [Updated with comparisons between the above formula (Asymp) and the exact formula (Exact) found by quid.] $$ \begin{array}{lcccc} n & & \mathrm{Asymp} & &\mathrm{Exact} \\ n=10 & : & A = 0.39 & : & 0.44 \\ n=100 & : & A = 0.89 & : & 0.88 \\ n=1000 & : & A = 0.98 & : & 0.98 \end{array} $$ 

