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Keywords:

  • computer-intensive statistics;
  • samples;
  • significance testing

The role of statistics in geography is now widely recognized, yet there are continuing suspicions as to the appropriateness of traditional methods. I review three computer-intensive approaches to significance testing of sample data. Using these methods, one can virtually always make some statement about the significance of a measure for comparing samples. Yet each approach also yields slightly different information about the measure. This confusion may be lessened somewhat by adopting standard sets of significance-testing procedures.