Science Inventory

ProUCL 5.2

Citation:

Barnett, F., P. Carson, T. Linscome-Hatfield, AND H. Brittingham. ProUCL 5.2. U.S. Environmental Protection Agency, Washington, DC, 2022.

Impact/Purpose:

ProUCL version 5.2  is the most recent update of the ProUCL statistical software package for analysis of environmental data sets with and without nondetect (ND) observations.  ProUCL is used by both internal and external users and is referenced in a number of State Guidances and ITRC documents. ProUCL Software | Land and Waste Management Research | US EPA    

Description:

ProUCL 5.2 is the latest version of the software and once final reviews are complete, will be made available on the ProUCL web link on the EPA web page. Version 5.2 of the software has been updated to include improvements to the Technical Guide and the Users Guide for clarity and several improvements made to the decision logic for the recommendation of UCLs for this version. The reliance on goodness of fit (GOF) tests to select appropriate UCLs is reduced. The Chebyshev UCL is no longer recommended, and the H UCL is only recommended in cases of relatively large sample sizes when there is high confidence that the assumption of lognormality is met to a good approximation. It has been noted that in some cases, data may be too skewed or not numerous enough to determine an appropriate UCL. ProUCL 5.2 does not provide a recommendation in these cases but encourages the user to: 1) Verify that the data were collected randomly (rather than through biased sampling, such as hot spot delineation sampling or best professional judgment sampling); 2) consider site knowledge that may explain why the data may be skewed (such as small areas of high concentrations); and 3) to contact a statistician if ProUCL cannot provide a recommendation. A detailed description of justification for these changes is in Technical Guide Section 2.5, and new decision logic charts are available in Appendix A of the same guide.  

Record Details:

Record Type:DOCUMENT( DATA/SOFTWARE/ DOWNLOADABLE APPLICATION)
Product Published Date:05/19/2022
Record Last Revised:06/14/2022
OMB Category:Other
Record ID: 354971