Software:SigmaXL

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SigmaXL
SigmaXL Company Logo.jpg
Hist process cap.jpg
Histogram and Process Capability Report
Developer(s)SigmaXL Inc.
Stable release
9.02 / January 15, 2021; 3 years ago (2021-01-15)
Operating systemWindows, OS X
TypeStatistical analysis
Licenseproprietary
Websitewww.sigmaxl.com

SigmaXL is a graphical and statistical add-in tool for Microsoft Excel.

SigmaXL is a commonly used tool for statistical and graphical data analysis. It is also often used in Six Sigma training and implementation. It has been used in medical and scientific research articles.[1][2][3][4][5][6][7] In addition to being a standalone software package, SigmaXL is also included in the DiscoverSim software package, created by SigmaXL Inc.

SigmaXL was developed in 1997 by John Noguera and Cynthia Cumby. It is distributed by SigmaXL Inc., a privately owned company located in Kitchener, Ontario, Canada .

SigmaXL's Graphical Tools Include:[8]

  • SPC Control Charts
  • Pareto Charts
  • EZ Pivot/Pivot Charts
  • Histograms
  • Dotplots
  • Boxplots
  • Normal Probability Plots
  • Run Charts
  • Multi-Vari Charts
  • Scatter Plots
  • Analysis of Means (ANOM) Charts

SigmaXL's Statistical Tools Include:[9]

  • Descriptive Statistics
  • Equivalence Tests (TOST)
  • One and Two Sample t-Tests
  • Paired t-Tests
  • One-Way and Two-Way ANOVA
  • Equal Variance tests
  • Correlation Matrix
  • Multiple Linear Regression
  • Logistic Regression
  • Chi-square and Fisher's Exact tests
  • Nonparametric and Nonparametric Exact tests
  • Minimum Sample Size for Robust t-Tests and ANOVA
  • Power & Sample Size Calculators
  • Tolerance Interval Calculator (Normal Exact)


SigmaXL also includes tools for data manipulation, measurement systems analysis, process capability (including nonnormal process capability), reliability/Weibull analysis, time series forecasting and design of experiments.[10]

SigmaXL 9.0 (the current stable release) is compatible with Microsoft Excel 2013 (32-bit & 64-bit), 2016 (PC only)/2019/365 (32-bit & 64-bit) and OS X Sierra or later.[11]

See also

References

  1. Salentijn, Willem, et al. "Six Sigma to distinguish patterns in COVID-19 approaches" The TQM Journal (2021): 1754-2731
  2. Ryan, Alice S., Dr., et al. "Insulin Resistance in Skeletal Muscle of Chronic Stroke." Brain Sciences (2021): 11(1), 20
  3. Viejo, Claudia Gonzalez, et al. "Beer and Consumer Response Using Biometrics: Associations Assessment of Beer Compounds and Elicited Emotions." Foods 9(6) (2020): 821
  4. Glaser, Jordan, MD, et al. "Frequent Emergency Department Users with Human Immunodeficiency Virus Infection." The Journal of Emergency Medicine Volume 52.4 (2017): 585-586
  5. van Kaam, Anton H., MD, et al. "Automated versus Manual Oxygen Control with Different Saturation Targets and Modes of Respiratory Support in Preterm Infants." The Journal of Pediatrics Volume 167.3 (2015): 545-550
  6. Ritchie, Scott A., et al. "Efficacy of novel updraft traps for collection of mosquitoes in Cairns, Australia." Journal of the American Mosquito Control Association Volume 24.4 (2008): 520-257
  7. Su, Leon L., et al. "Bacterial detection in apheresis platelets: blood systems experience with a two-bottle and one-bottle culture system." Blood Donors and Blood Collection Volume 48 (2008): 1842-1852
  8. SigmaXL Features
  9. SigmaXL Features
  10. SigmaXL Features
  11. SigmaXL System Requirements

External links

Further reading

  • Bass, Issa, and Barbara Lawton. Lean Six Sigma Using SigmaXL and Minitab. McGraw-Hill, 2009. Print. ISBN:978-0-07-162130-4
  • Lee Sye, George. Process Mastery with Lean Six Sigma: A Practitioner’s Guide To The Utilisation of Modern Day Lean Six Sigma Methodology. 2nd ed. Soarent Pty. Ltd. (2009). Print. ISBN:978-1-920875-11-4
  • Urdhwareshe, Hemant. Six Sigma for Business Excellence: Approach, Tools and Applications. Pearson Education in India, 2011. Print. ISBN:978-81-317-3154-3