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.

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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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