To simulate the Buffon's needle problem we choose independently the distance [math]d[/math] and the angle [math]\theta[/math] at random, with [math]0 \leq d \leq 1/2[/math] and [math]0 \leq \theta \leq \pi/2[/math], and check whether [math]d \leq (1/2)\sin\theta[/math]. Doing this a large number of times, we estimate [math]\pi[/math] as [math]2/a[/math], where [math]a[/math] is the fraction of the times that [math]d \leq (1/2)\sin\theta[/math]. Write a program to estimate [math]\pi[/math] by this method. Run your program several times for each of 100, 1000, and 10,00 experiments. Does the accuracy of the experimental approximation for [math]\pi[/math] improve as the number of experiments increases?