Implement peripheral functionality

[szabo137]

Description

Maybe we should implement some functionality to apply and test the implementation from the Students. Conceivable are functions in the context of a rejection sampler:

• target distribution function
• rejection filter (based on random probabilities)
• visualization of the selected samples (plotting of the histogram compared with the target distribution)

As discussed offline, we could implement a simple Gaussian, normalized to unit height to avoid value-based normalization. As a filter, a simple rejection filter based on a random probability would bring the implementation closer to an actual application. Using the visualization, the students could directly see, if their implementation produces the correct results.