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Interpretation and presentation of results

The output of a PRA is always conditional with regard to the input data. That is the reason why it is so important to mention all data assumptions and not to withhold limitations and information gaps. The description of the results and the interpretation should be kept apart. The former is the faithful translation of the mathematical outcome into plain language, the latter is a discussion on what the result means and what conclusions can be drawn. [Pg.161]

Uncertainty and variability should be treated as distinct entities. Both can be handled in 1 assessment, and can be represented as the result of a [Pg.161]

Application of Uncertainty Analysis to Ecological Risk of Pesticides [Pg.162]

2-dimensional simulation in 1 graph, but interpretations should be clear-cut. [Pg.162]

Available information regarding subpopulation probabilities should be always included. As an example, a certain effect evident on aquatic organisms in 2% of all water bodies may or may not be significant. However, indicating that that same effect is apparent in 80% of water bodies of a certain type may influence the signihcance of that data. [Pg.162]


In presentation and interpretation of results, NARL aims for objectivity, clear presentation, and statistical data treatment that is transparent to participants, internationally accepted and metrologically sound. Sources of chemical standards, statements concerning traceability and estimates of measurement uncertainty are included in the study report. [Pg.119]


See other pages where Interpretation and presentation of results is mentioned: [Pg.161]    [Pg.227]   


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