negative values from numpy.random.normal

[sastoudt]

For smaller values or with large margins of error, the numpy.random.normal in approximate_mean may return a negative number which won't make sense in context. We should probably just use max(0, simulated_value) instead.

[sastoudt]

addressed in https://github.com/datadesk/census-data-aggregator/pull/20