On the accuracy of the statistical distributions in GAUSS
Computational Statistics & Data Analysis
On the accuracy of statistical distributions in Microsoft Excel 97
Computational Statistics & Data Analysis
On the accuracy of statistical procedures in Microsoft Excel 97
Computational Statistics & Data Analysis
On the reliability of Microsoft Excel XP for statistical purposes
Computational Statistics & Data Analysis
On the accuracy of statistical procedures in microsoft Excel 2000 and Excel XP
Computational Statistics & Data Analysis
A comparative study of the reliability of nine statistical software packages
Computational Statistics & Data Analysis
On the accuracy of statistical procedures in Microsoft Excel 2003
Computational Statistics & Data Analysis
Editorial: Special section on Microsoft Excel 2007
Computational Statistics & Data Analysis
Teaching statistics with Excel 2007 and other spreadsheets
Computational Statistics & Data Analysis
Computational Statistics & Data Analysis
Polynomial Trendline function flaws in Microsoft Excel
Computational Statistics & Data Analysis
Should Economists Use Open Source Software for Doing Research?
Computational Economics
Computer Methods and Programs in Biomedicine
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We provide an assessment of the statistical distributions in Microsoft^(R) Excel versions 97 through 2007 along with two competing spreadsheet programs, namely Gnumeric 1.7.11 and OpenOffice.org Calc 2.3.0. We find that the accuracy of various statistical functions in Excel 2007 range from unacceptably bad to acceptable but significantly inferior in comparison to alternative implementations. In particular, for the binomial, Poisson, inverse standard normal, inverse beta, inverse student's t, and inverse F distributions, it is possible to obtain results with zero accurate digits as shown with numerical examples.