Although classical significance testing is the most commonly used inferential technique in quantitative geography, it is far from the only choice, and in some circumstances may not be the most appropriate. In the statistical literature and other disciplines, its utility has come under question in a number of contexts. This report overviews current progress in the development of quantitative inferential approaches, and considers their use and appropriateness in a number of human geographical contexts.