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SigmaXL Announces Release of SigmaXL V5.1 Excel Add-in for Six Sigma Statistical and Graphical Analysis

SigmaXL Announces Release of SigmaXL V5.1 Excel Add-in for Six Sigma Statistical and Graphical Analysis

FOR IMMEDIATE RELEASE

For more information, contact:

Cynthia Cumby
416-236-5877

Toronto (February 23, 2007) – SigmaXL, a leading provider of user friendly Excel Add-ins for Statistical and Graphical Analysis, announces the release of SigmaXL Version 5.1. New features include:

  • Compatible with Excel 2007 and Windows Vista
  • Six Sigma DMAIC Templates:
    o Team/Project Charter
    o SIPOC Diagram
    o Data Measurement Plan
    o Quality Function Deployment (QFD)
    o Pugh Concept Selection Matrix
    o Control Plan
    o In addition to Cause & Effect Matrix and Failure Mode and Effects Analysis.

  • Menu Layout Option – Classical or DMAIC:
    o Use SigmaXL’s Classical Menu (default). Tools are grouped by category.
    o Use the DMAIC Menu. Tools are grouped by the Six Sigma DMAIC format.

  • Additional Descriptive Statistics:
    o Skewness and Kurtosis with p-values.

  • Control Chart Selection Tool:
    o Simplifies the selection of appropriate control chart based on data type
    o Includes Data Types and Definitions help tab.

  • P’ and U’ (Laney) Control Charts:
    o These attribute charts should be used when the subgroup/sample size is very large (i.e. > 5,000) and assumptions are not met.
    o Use when the control limits do not “look right” being very tight with many data points appearing to be out-of-control. This problem is also referred to as “overdispersion”. This occurs when the assumption of a Binomial distribution for defectives or Poisson distribution for defects is not valid.

  • Improved Multiple Linear Regression:
    o Fit Intercept is optional. If unchecked the model will not fit an intercept (constant) for the model.
    o This is useful when you have strong a priori reasons to believe that Y = 0 when the X or X’s are equal to 0 and the relationship is linear. An example would be Y=automobile fuel consumption, X=automobile weight.
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“SigmaXL was designed from the ground up to be a cost-effective, powerful, but easy to use tool that enables users to measure, analyze, improve and control their service, transactional, and manufacturing processes. As an add-in to the already familiar Microsoft Excel, SigmaXL is ideal for Six Sigma training or use in a college statistics course,” said John Noguera, senior partner, SigmaXL.

An example of user friendliness is the two-sample comparison test. It automatically tests for normality, equal variance, means, and medians, and provides a rules-based yellow highlight to aid the user in interpretation of the output. Low p-values are highlighted in red indicating that the results are significant.

SigmaXL includes Multiple Histograms, Paretos, Boxplots, Dotplots, Normal Probability Plots, Scatter Plot Matrix, Multi-Vari, Gage R&R with Confidence Intervals, Power and Sample Size Calculators, Sigma Level Calculators, Process Capability Combination Report, Design of Experiments, Normality Test, Hypothesis Tests, Correlation Matrix, Multiple and Logistic Regression, Weibull Analysis, Box-Cox Transformation, Control Charts and more!

SigmaXL is rapidly becoming the tool of choice for Six Sigma Green Belts, Black Belts, Quality and Business Professionals, Engineers, and Managers around the world.

A free 30-day trial version is available for download from the SigmaXL website at: www.SigmaXL.com.

About SigmaXL

SigmaXL is a leading provider of user friendly Excel Add-ins for Six Sigma Statistical and Graphical analysis. SigmaXL customers include market leaders like American Express Financial, AON, Bechtel, Boeing, Boston University, Cisco, Diebold, GKN, GlaxoSmithKline, Honda, Honeywell, Intel, Intuit, Johnson & Johnson, Microsoft, Motorola University, Panasonic, PeopleSoft, Pfizer, Raytheon, Rockwell Automation, Sprint, TRW, U.S. Dept. of Labor, Washington Mutual and Wyeth. For more information, visit http://www.SigmaXL.com or call 1-888-SigmaXL (888-744-6295).

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