SigmaStat con ARAI – AI-Driven Intelligence and Assistance.
Analisi statistica basata sull’IA a cui gli scienziati si possono affidare.
Ogni scoperta rivoluzionaria inizia con la fiducia nei propri dati.
SigmaStat offre a scienziati, ingegneri, ricercatori, docenti e studenti un ambiente statistico completo per trasformare dati complessi in conclusioni significative e fondate.
Adalta è Rivenditore Unico per l’Italia di Grafiti SigmaStat. Richiesta quotazione…
Link utili
Cosa fa SigmaStat
01. Explore
Understand your data
Review distributions, summarize observations, and identify patterns before analysis begins.
02. Choose
Select the right method
Use organized test families, statistical guidance, and ARAI to match the method to the question.
03. Analyze
Run rigorous statistics
Apply proven methods across group comparisons, regression, survival analysis, and more.
04. Interpret
Understand the result
Move from output to insight with clear reports, contextual guidance, and intelligent assistance.
05. Communicate
Create professional graphs and customizable reports for publication, review, and decision-making.
Caratteristiche principali di SigmaStat
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.
Test statistici
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 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.
Grafici e visualizzazione
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
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