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Data Driven Decision Making #1 – New Statistical Guidance for Land Contamination Surveys

October 11, 2020 By Nigel Marriott

On 30th September 2020, CL:AIRE (the industry body for the land contamination & remediation sector) published new professional guidance for “Comparing Soil Contamination Data with a Critical Concentration“.  The 46-page document advises how to use statistics when assessing land contamination and deciding whether it is safe for development.  I was the lead author of the guidance and I spent 4 years working with CL:AIRE’s steering committee on what the guidance should cover.  The 4 years were bookended by statement & editorial published by the ASA (American Statistical Association) on the use & misuse of P-Values in 2016 & 2019 respectively and in writing this guidance I felt was I an ambassador for turning those into something that could used by non-statisticians to make real life decisions that have an impact on us all.

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Filed Under: Stats Training Tagged With: ASA, Box Plot, CL:AIRE, Confidence Intervals, contaminated land, contamination, Dot Plot, Evidence, land survey, P-values, Presenting data, professional guidance, Spatial Statistics

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