Using the methodology outlined in Section 2.4.1, a point predictive distribution of the diffusion coefficient based on data from was identified. This data comprises the diffusion of 40 compounds in the air and provides predictions and their absolute deviations. A histogram of the error distribution was plotted to evaluate its similarity to a potential Normal likelihood function (Figure ). To confirm the hypothesis of a Normal likelihood, the goodness-of-fit Kolmogorov-Smirnov (K-S) test was applied, where the null hypothesis postulates that the sample does not result from a Normal distribution with zero mean and standard deviation equal to 8.4297 × 10 -7 calculated using Equation .