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#### Summary

- Distributions are objects, which are constructed from whatever parameters the distribution may have.
- Member functions allow you to retrieve the parameters of a distribution.
- Generic non-member functions provide access to the properties that are common to all the distributions (PDF, CDF, quantile etc).
- Complements of probabilities are calculated by wrapping the function's arguments in a call to `complement(...)`.
- Functions that accept a probability can accept a complement of the probability as well, by wrapping the function's arguments in a call to `complement(...)`.
- Static member functions allow the parameters of a distribution to be found from other information.

Now that you have the basics, the next section looks at some worked examples.