Benford


EZ-R Stats for Excel EZ-R Stats for Excel 1.2
Excel addin to provide statistical analysis. The program facilitates and supports data analysis by providing numerous tools and charts, leveraging the facilities within MS-Excel. This routine is available at no charge, and may be used for any purpose, including personal and commercial.
benford, outlier, univariate statistics, kolmogorv-smirnov, analytical review, gaps, duplicates, internal audit, sarbanes-oxley,
 
EZ-R Excel EZ-R Excel .94
The function of the program is to make statistical analysis easier, hence the name (?Easier Excel?). The program facilitates and supports data analysis by providing numerous tools and charts, leveraging the facilities within MS-Excel.EZ-R Excel has been tested with Excel 2003 and Windows XP. This routine is available at no charge, and may be used for any purpose, including personal and commercial.
benford, outlier, univariate statistics, kolmogorv-smirnov, analytical review, gaps, duplicates, internal audit, sarbanes-oxley,
EZ-R Stats for Windows EZ-R Stats for Windows 1.41a
EZ-R Stats for Windows is an audit software tool for the auditor which can be used for fraud detection. Some of the key tools include testing conformity with Benford's law in order to identify unusual data distributions, procedures for quantifying population characteristics such as univariate statistics as well as the identification of outliers. The process is accomplished by dividing the analysis into a series of steps.
benford, outlier, univariate statistics, sqlite, mysql, gaps, internal audit, sarbanes-oxley,
 
Test Compliance with Benford's Law Test Compliance with Benford's Law 1.3
Fraud detection tool to enable the analyst/researcher to determine if the distribution of a particular population of values, e.g. transaction amounts, comply with that which would be expected using Benfords Law. Six tests: Test first 1,2 or 3 digits, last 1 or 2 digits or second digit only. Unlimited file size (tab separated).
benford, benfords law, fraud, fraud detection, data integrity, first digit,