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Description
Minitab 22.2.2
Minitab is a statistical software package. It was developed at the University of Pennsylvania as a lightweight version of OMNITAB, a statistical analysis program developed at the National Institute of Standards and Technology.
Today, Minitab is often used in conjunction with applications of Six Sigma, CMMI, and other developmental statistical procedures.
Minitab Uses:
- Data and file management - spreadsheets to enhance data analysis;
- Regression Analysis;
- Power and sample size;
- Tables and charts;
- Multivariate analysis including factor analysis, cluster analysis, correspondence analysis;
- Non-parametric analysis - various tests including vocal test, series criterion, Friedman test;
- Time series and forecasting - tools that help identify trends in data as well as forecasting future values. Time series charts, exponential smoothing, trend analysis;
- Statistical process control;
- Systems analysis of measurements;
- Analysis of variance - determining differences between data points.
Translated with DeepL.com (free version)
Minitab is a statistical software package. It was developed at the University of Pennsylvania as a lightweight version of OMNITAB, a statistical analysis program developed at the National Institute of Standards and Technology.
Today, Minitab is often used in conjunction with applications of Six Sigma, CMMI, and other developmental statistical procedures.
Minitab Uses:
- Data and file management - spreadsheets to enhance data analysis;
- Regression Analysis;
- Power and sample size;
- Tables and charts;
- Multivariate analysis including factor analysis, cluster analysis, correspondence analysis;
- Non-parametric analysis - various tests including vocal test, series criterion, Friedman test;
- Time series and forecasting - tools that help identify trends in data as well as forecasting future values. Time series charts, exponential smoothing, trend analysis;
- Statistical process control;
- Systems analysis of measurements;
- Analysis of variance - determining differences between data points.
Translated with DeepL.com (free version)