SigmaStat v1.0 with ARAI — AI powered Statistical Analysis Scientists Can Stand Behind
Every breakthrough begins with confidence in your data. SigmaStat gives scientists, engineers, researchers, educators, and students a comprehensive statistical environment for transforming complex data into meaningful, defensible conclusions.
140+
Proven statistical methods
2
Native platforms — Mac & Windows
1
Private, on-device AI assistant
Understand your data
Review distributions, summarize observations, and identify patterns before analysis begins.
Select the right method
Use organized test families, statistical guidance, and ARAI to match the method to the question.
Run rigorous statistics
Apply proven methods across group comparisons, regression, survival analysis, and more.
Understand the result
Move from output to insight with clear reports, contextual guidance, and intelligent assistance.
Share defensible conclusions
Create professional graphs and customizable reports for publication, review, and decision-making.
Overview
Built for every stage of scientific research.
SigmaStat combines proven statistical methodology with an intuitive workflow for research, teaching, engineering validation, pharmaceutical development, manufacturing quality, and scientific publishing. Explore distributions, test hypotheses, model relationships, and interpret results without losing sight of the scientific question.
From undergraduate instruction through doctoral research and industrial R&D, SigmaStat scales to the needs of the work while modernizing the experience with cross-platform performance, broader accessibility, and fewer installation barriers.
Research ready
Analyze experimental data with established statistical methods used across scientific and engineering disciplines.
Cross-platform
Work natively on macOS and Windows with a consistent experience across classrooms, laboratories, and research teams.
Designed for productivity
Spend less time configuring software and more time analyzing evidence, interpreting results, and communicating discoveries.
Statistical Tests
A comprehensive statistical toolkit.
What are you trying to learn from your data? SigmaStat organizes a broad collection of statistical methods around the scientific question—helping users describe observations, compare groups, measure relationships, model outcomes, analyze survival, and reduce complexity.
Describe
Describe your data
Build a solid understanding of your data before analyzing it — summarize distributions and spot patterns early.
Descriptive Statistics
One-Way Frequency Tables
validate
Normality testing
Check whether your data meets the assumptions required for parametric methods before you choose a test.
Normality Testing
single group
Analyze a single group
Determine whether a sample differs significantly from a known or hypothesized value.
One-Sample t-Test
One-Sample Signed Rank Test
two groups
Compare two groups
Evaluate differences between two independent groups, for normal or non-parametric data.
t-Tests
Rank Sum Test
before / after
Before-and-after studies
Measure change within the same subjects by comparing paired observations.
Paired t-Test
Signed Rank Test
multiple groups
Compare multiple groups
Analyze experiments with multiple groups, including factorial designs and covariance.
One-Way ANOVA
Two-Way ANOVA
Three-Way ANOVA
ANOVA on Ranks
One-Way ANCOVA
repeated measures
Repeated measures
Analyze repeated observations from the same subjects while accounting for within-subject variation.
One-Way RM ANOVA
Two-Way RM ANOVA
RM ANOVA on Ranks
categorical
Rates and proportions
Analyze categorical data, proportions, and contingency tables common in biomedical and clinical research.
Z-Test
Chi-Square Test
Fisher's Exact Test
McNemar's Test
Relative Risk
Odds Ratio
relationships
Correlation analysis
Measure the strength and direction of relationships between variables.
Pearson Product-Moment
Spearman Rank-Order
prediction
Regression analysis
Model relationships and generate reliable predictions, from linear fits to advanced multivariable techniques.
Linear
Multiple Linear
Stepwise
Best Subset
Polynomial
Multiple Logistic
Deming
repeated measures
Principal components
Reduce data complexity and identify the variables that contribute most to variation in your dataset.
Principal Components Analysis (PCA)
time-to-event
Survival analysis
Compare survival distributions and model risk over time with dedicated time-to-event tools.
Kaplan-Meier — Single Group
Log-Rank Test
Gehan-Breslow Test
Cox Regression — Proportional Hazards
Cox Regression — Stratified Model
ARAI — AI-Driven Intelligence and Assistance
ARAI — AI-Driven Intelligence and Assistance
ARAI is SigmaStat's private, on-device intelligence layer. It helps users navigate the application, understand statistical concepts, explore the relevance of different methods, and work more confidently—without sending data or questions to external services.
Grounded statistical guidance
A local retrieval system answers questions using SigmaStat help, technical support content, white papers, and curated statistical reference material.
Private, local, and offline
All ARAI functionality runs on your computer. Questions, data, and interactions are never sent to external AI services — with no dependency on an internet connection.
Intelligence across the workflow
Ask conceptual questions, understand when methods are relevant, clarify terminology, and explore analytical approaches without leaving SigmaStat.
Graphs & Visualization
Communicate your findings with confidence.
Move from statistical output to clear scientific communication with a broad library of 2D and 3D graphs, automatically generated result visualizations, and customizable reports suitable for review, presentation, and publication.
2D graph types
- Scatter (11 types), Line (12 types), Scatter & Line (15 types)
- Vertical & horizontal bar (4), grouped bar (4)
- Vertical stacked bar
- Area plots (4 types)
- Radar (4 types)
3D graph types
- Scatter
- Line — trajectory
- Mesh
- Waterfall
Transform
- Quick Transform
- User Defined Transform
- Statistical Transform
Statistical advisor
- Advisor wizard guides you through choosing the appropriate statistical test
Statistical result graphs
- Result graphs generated automatically for the appropriate statistical test
Statistical reports
- Customizable background color and pre-defined or custom tables
- Zoom-enabled reports with bookmarks and a table of contents
- Headers, footers, and page numbers
Graphs & Visualization
Connect to the tools your laboratory already uses.
SigmaStat fits into existing research and engineering workflows by reading, writing, and exchanging data with widely used laboratory, statistical, spreadsheet, programming, and database formats.
01. Import
- SAS data sets (.sd2, .sas7bdat)
- Minitab data sets (.mtw, .mpj)
- ASCII, CSV, and Excel (.xls, .xlsx)
- Any ODBC-compliant database
- SQL queries on tables, selective import
- R, Statistica, Matlab, Stata, JMP files
- JDBC support alongside ODBC
02. Work
- Formula bar — edit cell values directly
- Apply formulas to cells
- Insert color, symbols, and line styles
- Custom cell display formats
- Format cell content
03. Transform
- SAS files (.sd2)
- Minitab files (.mtw, .mpj)
- ASCII text, tabbed, comma, Excel, DIF
- PDF, PSD, and HTML export of graphs & reports
- R, Statistica, Matlab, Stata, JMP files