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Report Name: Statistics: Analytical Statistics (by Location) (example)
File Name: EarthSoft.Reports.Library.14425.dll
Dependencies: saved Analytical Results Report
Software: EQuIS Professional and EQuIS Enterprise
Source: EQuIS Professional install
Language: English
Output Type: Excel1
Description: Based on a saved Analytical Results or Analytical Results II Report, the report generates the following statistical information: Mean, Upper Confidence Level (UCL), Median, Standard Deviation, Coefficient of Variation, Skewness, Minimum, Maximum, Count (n), Mann-Kendall S, Trend analysis (at 80% confidence, 90% confidence, 95% confidence, 99% confidence), and Sen Slope.
Installation Instructions: This report assembly is part of the EQuIS Professional installation. No additional installation steps are necessary.
Overview:
If the "Action Level(s)" input is selected, the report will indicate action level violations. If a statistical value (Mean, UCL, Median, Minimum or Maximum) is greater than an action level value, the value is highlighted. Up to four action levels can be used in the report. The statistics can be for each sampling depth of each location or for each location without differing sample depths.
The confidence level for results is calculated based on the Data Quality Assessment: Statistical Methods for Practitioners, EPA QA/G-9S:
•When samples > 10, use Table A-1 of EPA QA/G-9S.
•When samples <= 10, use Table A-12a of EPA QA/G-9S. Under this scenario, a note is recorded in the report from Table A-1 of Guidance on Natural Attenuation for Petroleum Releases Remediation and Redevelopment Program, Wisconsin DNR (different from EPA table for 10 percent confidence interval due to greater resolution in the Wisconsin table relative to that provided in Table A-12a of EPA QA/G-9S).
The Student T distribution is used to calculate the Upper Confidence Level as UCL = Mean + t *SD/N
The Saved Analytical Results II or Analytical Results Report parameter options in this report includes user reports from Analytical Results and Analytical Results II.
Tables: All tables used by Analytical Results II and DT_ACTION_LEVEL, DT_ACTION_LEVEL_PARAMETER, ST_REPORT, ST_USER_REPORT
Report Parameters |
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* If selections are cleared from the parameter, calculations use the bolded option.
The "Method to process duplicated rows" parameter aggregates REPORT_RESULTS_VALUEs for duplicate records. For this parameter, records with identical values in the following fields comprise a duplicate set: SYS_LOC_CODE, START_DEPTH, SAMPLE_DATE, SAMPLE_NAME, CHEMICAL_NAME, and REPORT_RESULT_UNIT.
The parameter uses the following aggregate options for duplicate sets:
•Average – the arithmetic mean of the duplicate set's REPORT_RESULT_VALUEs
•Maximum – the maximum REPORT_RESULT_VALUE of the duplicate set
•Minimum – the minimum REPORT_RESULT_VALUE of the duplicate set
•Sum – the sum of the duplicate set's REPORT_RESULT_VALUEs
If unselected, the parameter defaults to "Maximum".
The calculations ignore data rows with the following:
•null value for REPORT_RESULT_LIMIT
•100000000' value
•'99999999' value
The "Process multiple non-detect limits of an analyte at a location" parameter aggregates the multiple non-detect limits of an analyte per location and fraction. This aggregate replaces REPORT_RESULT_VALUE with REPORT_RESULT_LIMIT.
The parameter uses the following aggregate options for the non-detects of an analyte at a location:
•Max – the maximum detection limit of the non-detects
•Min – the minimum detection limit of the non-detects
•Average – the arithmetic mean of all detection limits for the non-detects
•First – the detection limit of the earliest non-detect
•Last – the detection limit of the most recent non-detect
If unselected, the parameter defaults to "Last".
Note that results without an associated DETECT_FLAG='Y' or 'TR' are considered non-detects.
Data are populated using the Analytical Results II report, so REPORT_RESULT_VALUE=REPORT_RESULT_LIMIT*ND_MULTIPLIER, and the unit will convert if needed.
1Excel report output requires a valid license of Microsoft Excel to view the output.nalyticalStatisticsByLocation
Copyright © 2023 EarthSoft, Inc • Modified: 19 Sep 2022