The experiment consists of running the standard Brownian motion process \( \boldsymbol{X} = \{X_s: s \in [0, \infty) \} \) until the process hits \( y \gt 0 \). On each run, the path is shown in the graph on the left. The random variable of interest is the hitting time \( \tau_y \) which has the Lévy distribution with scale parameter \( y^2 \). On each run, the value of this variable is recorded in the first table, and the point \( (\tau_y, y) \) is shown as a red dot in the path graph on the left. The probability density function and moments, and the empirical density function and moments, are shown in the distribution graph on the right and given in the distribution table on the right. The parameter \( y \) can be varied with the input