SOSstat 3
SOSstat 3 offers a wide range of statistical testing and tools to analyze, improve and stabilize processes or products. This will allow you to manage your daily 6 Sigma projects and other improvement initiatives.
What is SOSstat 3?
Introduction to SOSstat 3
SOSstat 3 is a statistical software dedicated to quality industrial applications.
SOSstat 3 offers a wide range of statistical testing and tools to analyze, improve and stabilize processes or products. This will allow you to manage your daily 6 Sigma projects and other improvement initiatives.
SOSstat 3 is a powerful and complete tool, you will appreciate its ease of use. For more than 10 years, SOSstat 3 provides statistical analysis capabilities to meet industry needs. In partnership with our customers, we wanted to develop an engineering tool that integrated analytics vital to the business. SOSstat 3 is a production tool used by operators and technicians and engineers.
The most sophisticated statistical techniques can be used by everyone, thanks to a simple environment and tools to help interpret the results
RESOURCES
- Basic Statistics
- Many graphic representations
- Regressions - modeling
- Parametric and nonparametric tests
- Design of experiments
- Metrological validation functions
- Statistical process control (CEP)
- Reliability and survival analysis
- Many assistants
- Connecting instruments
Descriptive statistics
- Histogram
- Boxplot
- Correlation matrix
- Population parameters
- Statistical summary function
- Density estimation
Normality tests
- Kolmogorov test
- Anderson Darling Test
- Shapiro-Wilk Test
- Probability plot
Regression
- Simple regression with different models:
- Linear with variable transformation
- Quadratic
- Confidence interval and forecast interval
- Multiple regression
- Calculation of standardized waste, students and waste
- Cook's distance and leverage calculation
- Standardization of predictors for analysis of project experiments
- Forecasting Wizard
Metrology
- Measurement capability analysis (Charbonneau, GRR X-bar / R and R method)
- Study of measurement capacity with cross-ANOVA and nested ANOVA
- Type 1 measuring capability (Cg - Cgk)
- Bias and linearity tests for measurement systems
- Attribution capacity studies: probabilistic method, signal method or analytical method
- Measurement linearity study
Proportion tests
- Comparison of proportion with a theoretical value (accurate and asynotic test)
- Comparison of a frequency with a theoretical value (Poisson distribution)
- Comparison of two proportions (Fisher's exact test) and asynotic test (normal distribution)
- Frequency comparison (Poisson distribution)
- Comparison of n proportions
System requirements
Available for Linux and Windows
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