In this page you will find a list of the main features of **SOSstat**

SOSstat2 users won’t be disoriented by the GUI of version 3 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 :

- SOSstat3 can open multiple data grids at the same time
- Data grids are similar to spreadsheets with mouse selection and cells formatting
- The number of rows and columns is not limited (however, depends on the available memory on the computer)
- 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 3** ® contains a large number of statistical procedures for testing and exploratory statistics.

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

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

- 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

- 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 …

- 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 …

- 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

- Mean equivalence
- Population equivalence
- Read more …

Note

These tests are used for bio-equivalence

- Grubbs test - outlier detection in one sample
- Cochran test - outlier detection in several samples

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

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

- 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
- 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 …

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

- 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

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

- 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** ® Offers a wide range of graphical representations :

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

- Import text files, CSV
- Import 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

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