Environmental Monitoring

Environmental Monitoring
   



You need to understand the "accuracy" of your results. This is made up of two components:

  • Bias; and
  • Precision (the variance or "noise" in the data).


Accurate results will have high precision (few chance errors) and low bias (the lack of systematic errors). This is illustrated below:




Bias is the most pernicious because there is no way of correcting for it. You must do all you can to eliminate it through experimental design and QA/QC.

Low precision can be corrected for in terms of confidence, but low precision makes it more difficult to distinguish errors and to achieve adequate power to prevent false negatives.


Can I use volunteers for good sampling programs?


   
 

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