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SOSstat - Quality

SOSstat Quality is a statistical software for industrial quality improvement (Statistical Process Control (SPC) and Statistical Design of Experiments (DoE)), with the operating concept familiar from Office spreadsheets.
Description

Product information "SOSstat - Quality"

🏭 SOSstat Quality® – Statistical Software for Industrial Quality Improvement

SOSstat Quality is a powerful software solution for statistical process control (SPC) and quality improvement in industrial environments. Specifically designed for engineers, technicians, and production teams, it combines ease of use with robust statistical tools, enabling quick and accurate analysis with minimal training.


Why Choose SOSstat Quality?

🔍 Comprehensive statistical tools – For process analysis, monitoring, and optimization
📊 Modern visualizations & intuitive graphics – For fast, clear insights
🛠️ Built for industrial use – Ideal for manufacturing, quality management & validation
🚀 Integrated Six Sigma project management – Supports continuous improvement initiatives
🧠 Assistant-guided workflows – Designed for users with or without statistical expertise


🌐 Application Areas

✔️ Microelectronics & semiconductor industry
✔️ Aerospace & aviation
✔️ Mechanical & automotive engineering
✔️ Plastics & textile manufacturing
✔️ Medical devices & precision instruments
✔️ Quality management & regulatory validation


🧪 SOSstat VPAQ® – Simplifying Analytical Method Validation

SOSstat VPAQ is a specialized tool for the validation of quantitative analytical methods – ideal for industries where regulatory compliance and scientific precision are critical.

🎯 Designed for:

✔️ Chemical analysis
✔️ Pharmaceutical quality assurance
✔️ Food testing and laboratory analytics

With SOSstat VPAQ®, you can perform validations based on internationally recognized standards – accurately, efficiently, and in full compliance.


📐 Validation According to International Guidelines

📏 Total Error approach – Scientifically robust and easy to interpret
📘 Compliant with SFSTP & NF V 03-110
🌍 Aligned with ICH guidelines & ISO 5725
🔬 Scientifically validated & industry-proven – Trusted across sectors worldwide


🎯 Key Benefits at a Glance

🔒 Regulatory-compliant validation methodology
📈 Improved accuracy & reproducibility
📎 Demonstrable quality of products & processes
📂 Reliable documentation & integrated project tracking


💬 Conclusion: SOSstat – Quality at the Highest Level

Whether you're conducting a production analysis, leading a Six Sigma project, or performing method validationSOSstat Quality® and SOSstat VPAQ® provide the essential tools to work efficiently, transparently, and in full compliance with industry standards.

📥 Learn more & request your free demo today!
➡ Contact us for product information or personal consultation.


Details

📊 SOSstat – Statistical Module

Comprehensive Statistical Tools for Data Analysis, Hypothesis Testing & Regression Modeling

🔹 Descriptive Statistics
• Histograms, Boxplots, Density Estimation
• Correlation Matrix, Normality Tests (Kolmogorov, Shapiro-Wilk, Anderson-Darling)
• Probability Plots

🔹 Regression & Prediction
• Simple & Multiple Regression (linear, quadratic, robust, orthogonal)
• Confidence & Prediction Intervals
• Cook’s Distance, Leverage, Standardized Residuals
• DoE-Compatible Predictor Standardization
• Prediction Assistant – Suggests optimal settings

🔹 Parametric Tests
• Comparison of means & variances vs. reference values
• t-test, Welch test, ANOVA, Fisher’s test
• Test Selection Wizard based on problem type

🔹 Nonparametric Tests
• Wilcoxon, Sign Test, Kruskal-Wallis, Levene’s Test
• Distribution Tests & Distribution Equivalence (Kolmogorov 2-sample)

🔹 Equivalence Tests
• For bioequivalence & quality comparison – ensures differences stay within predefined thresholds

🔹 Outlier Detection
• Grubbs’ Test, Cochran’s Test, Graphical Boxplot Check

🔹 Statistical Intervals
• Tolerance, Confidence & Prediction Intervals for means and individual values

🔹 Multivariate Analysis
• Principal Component Analysis (PCA)


🏭 SOSstat – Quality Module (SPC & Process Control)

🔧 SPC & Control Charts
• X̄/R, X̄/S, Moving Average, Individuals, Short Runs
• EWMA Charts, Attribute Charts (p, np, c, u)
• Sampling Plans based on S-method

📈 Process Capability Analysis
• For normal and non-normal distributions (e.g., log-normal, folded)
• Capability Studies: AFNOR, QS9000, Six Sigma
• Support for stratified samples and characteristics

📐 Calculation Wizards & Tools
• Control chart limits
• Sample size & control limit calculation
• Capability thresholds, Z-values (Six Sigma)

🧪 Reliability & Validation
• Weibull & Exponential Distributions
• Success testing, censored & suspended tests

⚙️ Metrology & Gage R&R Studies
• GRR, Charbonneau, X̄/R
• ANOVA (crossed/nested)
• Bias, Linearity, Attribute Agreement Analysis
• Cg / Cgk Capability Studies

🧬 Design of Experiments (DoE)
• Orthogonal Designs: Full/Partial Factorial, Taguchi
• Response Surface: Box-Behnken, Central Composite
• Plackett-Burman, D-Optimal Designs
• Desirability Function, Signal-to-Noise Ratios

📦 Quality Assistants
• Sampling Plans, Power Calculations
• Capability Indicators ↔ Defect Rates
• Plan Reliability Tests
• Standards compliance: ISO 11462-1, AIAG MSA/SPC, ISO 7870/22514-4, and more


📈 SOSstat – Graphics Module

🌟 Versatile Charts for Analysis & Presentation
• Boxplot, Histogram, Run Chart
• Cumulative Distribution Function
• Multivariate Plots, Pareto, Bar & Line Charts
• 2D Time Series & Scatter (linear/log)
• 3D Scatter, Contour & Surface Plots
• Radar Charts & Crosstab Visualizations


🔄 Data Management & Automation

📂 Import / Export
• CSV, text files, Excel
• SQL database connectivity
• Automation via USB/RS232
• Save data in XML format
• Export reports to RTF, Word, HTML
• File encryption for secure transmission

🔍 Filtering & Sorting Tools
• Criteria-based filtering
• In-table data selection


📌 Conclusion: SOSstat 3 – The All-in-One Solution for Statistics & Quality

Whether you're working on statistical analysis, quality assurance, reliability studies, method validation, or design of experimentsSOSstat 3 brings all tools together in one intuitive software environment.

🎯 Ideal for professionals in industry, pharmaceuticals, laboratory analytics, and quality engineering.

📥 Request a demo or consultation today!
➡ Contact our sales team or download your free trial.

Requirements
SOSstat® ist für WINDOWS und LINUX erhältlich.

Details

 

New features of SOSstat:

 

OSstat 3 features

 

SOSstat is rich and versatile software. It brings together a large number of statistical and engineering techniques in a simple and powerful environment. The graphical interface is organized in three distinct parts:

  • A spreadsheet to store, modify and reorganize data. The spreadsheet can import an excel workbook with all its grids.
  • A window dedicated to the display of numerical and graphical results. Graphs are resizable, reorganizable and exportable.
  • A report that can be exported to a word processor, where the user can compile the results, either step by step or by automating the processing.

One of the strengths of SOSstat is to provide comments for each analysis, in order to facilitate the interpretation of the results.

SOSstat - Statistics

SOSstat 3 ® contains a large number of statistical procedures for testing and exploratory statistics.

Descriptive statistics

  • Histogram
  • Boxplot
  • Correlation matrix
  • Population parameters
  • Statistical summary function
  • Density estimation
  • Read more …

Normality tests

  • Kolmogorov test
  • Anderson Darling test
  • Shapiro-Wilk test
  • Probability plot
  • Read more …

Regression

  • Simple regression with different models:
    • Linear with variable transformation
    • Quadratic
    • Confidence interval and prediction interval
    • Applied test on a theoretical model
    • Robust regression
    • Orthogonal regression
    • Read more …
  • Multiple regression
    • Calculation of residuals, Studentized and standardized residuals
    • Cook’s distances and leverage calculation
    • Standardization of predictors for analyzing designs experiments
    • Prediction tool for the search for an optimum
    • Read more …

Parametric tests

Tests applicable when populations is normally distributed

  • All the tests that follow can be selected using a wizard that directs the user to the test most suited to his problem.
  • Compare the average or the variance to a theoretical value
  • Comparison of two samples: Student test, Welch test, Fisher test, average test for paired samples
  • Comparison of n samples : Bartlett’s test, analysis of variance (ANOVA)
  • Read more …

Nonparametric Tests

Tests applicable when populations do not follow normal distribution

  • Centering a sample with a reference value: Sign test, wilcoxon rank signed test
  • Centering two samples: Wilcoxon Mann Whitney Test
  • Centering test for two paired samples: Sign test
  • Dispersion test for two samples: Ansari-Bradley test
  • Centering test for n samples : Kruskal-Wallis Test
  • Dispersion test for n samples : Levene test
  • Comparison of two distributions : Kolmogorov 2 samples test
  • Read more …

Proportion tests

  • Comparison of proportion to a theoretical value (exact and asymptotic test)
  • Comparison of a frequency to a theoretical value (Poisson distribution)
  • Comparison of two proportions (Fisher’s exact test), and asymptotic test (Normal distribution)
  • Comparison of frequencies (Poisson distribution)
  • Comparison of n proportions

Equivalence tests

These tests are particularly interesting to demonstrate that experimental results are “equivalent”, i.e. the difference between experimental results cannot exceed a specified value. These tests are notably used to carry out bio-equivalence.

  • Equivalence of averages (several variants of this test)
  • Population equivalence (several variants of this test)
  • Read more …

Detecting outliers

Detection of atypical values likely to pollute experimental results.

  • Grubbs test - outlier detection in one sample
  • Cochran test - outlier detection in several samples
  • Graphical test in Boxplot

Statistical intervals

  • Tolerance interval
  • Prediction interval of a mean
  • Prediction interval of individual values

Multivariate analysis

  • Principal component analysis

SOSstat3 - Quality

SOSstat3 provides a toolbox to improve product quality and control processes.

Statistical process control SPC

  • Measurement control charts (

, /S

  • , Moving Average, Individual Values, Small batches) with logbook
  • EWMA Control chart
  • Control charts for attributes: p, np, c and u
  • Measurement sampling plan (S method)
  • Process capability ans performance study (AFNOR, QS9000, 6 Sigma)
  • Capability study for non-normal process: normal folded distribtion , position errors distribution, log-normal, stratified populations
  • Inertial capability study
  • Assessment of capabilities for a range of characteritics
  • Wizard for calculating limites of control charts for measurement
  • Wizard for calculating sample sizes
  • Plot operating characteristic curves of an average control chart
  • Wizard for calculation of capability threshold
  • Validation of tools and machines
  • Read more …

Reliability

  • Modeling laws failure distribution with Weibull or exponential distribution
  • Management truncated, censored and suspended trials
  • Success test to validate a reliability level

Metrology

  • Measurement capability analysis (Charbonneau, GRR method X-bar /R and R)
  • Measurement capability study with Crossed ANOVA et nested ANOVA
  • Type 1 Measurement capability (Cg - Cgk)
  • Tests of bias and linearity for measurement systems
  • Attributive capability studies : probabilistic method, signal method or analytical method
  • Linearity study of measurement

Designs of experiment (DOE)

Design of experiments and analysis of results

  • Orthogonal designs : Full factorial design, fractional factorial design
  • Design of two-level fractional designs according to the Taguchi method
  • Surface Design : Centered Composite, Box Behnken
  • Plackett and Burman designs
  • D-optimal design
  • Desirability function to optimize multiple responses
  • Calculation of signal / noise ratios for product plans (Robustness)
  • Read more …

Quality Assistants

  • Design and Evaluation of Sampling Plans for Attributes and Measures
  • Design of sampling plans with Limiting Quality
  • Calculation of control charts limits
  • Evaluating the effectiveness of average control charts
  • Calculating the optimal sample size for a control chart
  • Calculation of the Z indicator of the 6-Sigma projects
  • Calculation of capacity thresholds for risk control
  • Bidirectional relationship between capability indicators and non-conforming rates
  • Design of a reliability run test

Standard Used : AIAG MSA, AIAG SPC, ISO 11462-1, NFX06031-1:4, NFX06034, ISO_2021247, ISO 21747, ISO_7870, ISOTR22514-4, ISOTR7871

SOSstat 3 - Graphics

SOSstat ® Offers a wide range of graphical representations :

  • Boxplot
  • Histogram
  • Run chart
  • Cumulative distribution function
  • Multivari plot
  • Synthesis (or summary) graphs - Pareto, Bar Graph on sample parameters
  • 2D graphs - Time Series - Scatter (linear scale / log scale)
  • 3D Graphs - Scatter, Contours, Surface
  • Bubble plot
  • Graphs for contingency tables - Radar graphs, Bar Graph

Import/export

  • Import text files, CSV
  • Import / Export excel files
  • Import data from a database - SQL Queries
  • Instrument Connectivity USB port or RS232 port, Automation of analysis
  • Record data in XML format, to ensure data survivability
  • Encrypted file protection for email exchanges
  • Export reports in RTF, WORD, HTML format

Filtering / Sorting

  • Filtering data according to a criterion
  • Retrieving Data from the grids

 

 

 

 

 

What’s new in SOSstat

SOSstat users won’t be disoriented by the GUI since they will find the usual cutting with the area of data, the area of results, as well as projects in the reporting areas.

Note, however, important new features :

 

  • SOSstat can open multiple data grids at the same time

  • Data grids are similar to spreadsheets with mouse selection and cells formatting.

  • Les nombre de lignes et de colonnes n’est pas limité (il dépend toutefois de la mémoire disponible sur l’ordinateur)
  • A new feature called “report” appeared. It is a streamlined word processor integrated SOSstat, which allows the user to build a custom report throughout analyzes .

  • The result area is being also transformed since it is possible to display multiple graphs that are resizable and repositionable

  • Graphics can be operated in vector formats are the advantage is to provide scientific quality prints. It also have the advantage of being
    modified with a vector drawing software (Powerpoint, LibreOffice-Draw, Inkscape, Visio ...)

  • The assistants of analysis are more comprehensive

SOSstat - Statistics

SOSstat contains a large number of statistical procedures for testing and exploratory statistics.


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 prediction interval

  • Multiple regression
    • Calculation of residuals, Studentized and standardized residuals

    • Cook’s distances and leverage calculation

    • Standardization of predictors for analyzing designs experiments

    • prediction wizard
       

Parametric tests

  • Compare the average or the variance to a theoretical value

  • Comparison of two samples: Student test, Welch test, Fisher test, average test for paired samples

  • n samples tests: Bartlett’s test, analysis of variance (ANOVA)

     

Nonparametric Tests

  • Centering two samples: Wilcoxon Mann Whitney Test

  • Centering test for two paired samples: Sign test

  • Dispersion test for two samples: Ansari-Bradley test

  • Centering test for n samples : Kruskal-Wallis Test

  • Dispersion test for n samples : Levene test

  • Comparison of two distributions : Kolmogorov 2 samples test
     

Proportion tests

  • Comparison of proportion to a theoretical value (asymptotic test)

  • Comparison of two proportions (Fisher’s exact test), and asymptotic test (Normal distribution)

  • Comparison of n proportions
     

Equivalence tests

 

  • Mean equivalence

  • Population equivalence

Detecting outliers

  • Grubbs test - outlier detection in one sample

  • Cochran test - outlier detection in several samples
     

Statistical intervals

 

  • Tolerance interval

  • Prediction interval of a mean

  • Prediction interval of individual values

SOSstat - Quality

SOSstat provides a toolbox to improve product quality and control processes.
 

Statistical process control SPC

 

  • Control charts for measurements (Xbar/R, Xbar/S, Moving Average, Individual Values​​, Small batch) with logbook

  • EWMA Control chart

  • Control charts for attributes: p, np, c and u

  • Process capability ans performance study (AFNOR, QS9000, 6 Sigma)

  • Capability study for non-normal process: normal folded distribtion , position errors distribution, log-normal, stratified populations

  • Inertial capability study

  • Assessment of capabilities for a range of characteritics

  • Wizard for calculating limites of control charts for measurement

  • Wizard for calculating sample sizes

  • Plot operating characteristic curves of an average control chart

  • Wizard for calculation of capability threshold

  • Validation of tools and machines

Reliability

  • Modeling laws failure distribution with Weibull or exponential distribution

  • Management truncated, censored and suspended trials

  • Success test to validate a reliability level
     

Metrology

  • Measurement capability analysis (Charbonneau, GRR method X-bar /R and R)

  • Measurement capability study with Crossed ANOVA et nested ANOVA

  • Type 1 Measurement capability (Cg - Cgk)

  • Tests of bias and linearity for measurement systems

  • Attributive capability studies : probabilistic method, signal method or analytical method

  • Linearity study of measurement
     

Designs of experiment (DOE)

Design of experiments and analysis of results

  • Orthogonal designs : Full factorial design, fractional factorial design

  • Surface Design : Centered Composite, Box Behnken

  • Plackett and Burman designs

  • D-optimal design
     

Various

  • Wizard for sampling plans power

  • Standard Used : AIAG MSA, AIAG SPC, ISO 11462-1, NFX06031-1:4, NFX06034, ISO_2021247, ISO 21747, ISO_7870, ISOTR22514-4, ISOTR7871

 

SOSstat - Graphics

SOSstat Offers a wide range of graphical representations.

  • Boxplot
  • Histogram for stratified populations

  • Run chart

  • Summary Graphs - Pareto, Bar-Graph

  • 2D graphs - Time Series - Scatter (linear scale / log scale)

  • 3D Graphs - Scatter, Contours, Surface

  • Graphs for contingency tables - Radar Graphs
     

SOSstat - Various Operations

Import/export

  • Import text files, CSV

  • Import excel files

  • Import data from a database - SQL Queries

  • Instrument Connectivity USB port or RS232 port, Automation of analysis

  • Recording data in XML format their timelessness

  • Protection data with cryphtographie for e-mail exchangesl
     

Filtering / Sorting

  • Filtering data according to a criterion

  • Retrieving Data from the grids

SOSstat ® is available with WINDOWS and LINUX.

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