• Descriptive Statistics, Breakdowns, and Exploratory Data Analysis
• Correlations
• Interactive Probability Calculator
• T-Tests (and other tests of group differences)
• Frequency Tables, Crosstabulation Tables, Stub-and-Banner Tables, Multiple Response Analysis
• Multiple Regression Methods
• Nonparametric Statistics
• Distribution Fitting
• Enhanced graphics technology
• Powerful query tools
• Flexible data management
• ANOVA [supports 4 between factors and 1 within (repeated measure) factor]
• STATISTICA Visual Basic Language, and more.

• Cluster Analysis Techniques
• Factor Analysis and Principle Components
• Canonical Correlation Analysis
• Reliability/Item Analysis
• Classification Trees
• Correspondence Analysis
• Multidimensional Scaling
• Discriminant Analysis
• General Discriminant Analysis Models
• STATISTICA Visual Basic Language, and more.

• Variance Components and Mixed Model ANOVA/ANCOVA
• Survival/Failure Time Analysis
• General Nonlinear Estimation (and Logit/Probit)
• Log-Linear Analysis
• Time Series Analysis, Forecasting
• Structural Equation Modeling/Path Analysis (SEPATH)
• General Linear Models (GLM)
• General Regression Models (GRM)
• Generalized Linear/Nonlinear Models (GLZ)
• Partial Least Squares (PLS)
• STATISTICA Visual Basic Language, and more.

• Power Calculations
• Sample Size Calculations
• Interval Estimation
• Probability Distribution Calculators, and more.

• Large selection of network architectures including:
  Multilayer Perceptrons, Radial Basis Function networks, Probabilistic Neural Networks, Generalized Regression Networks, Self Organizing Feature Maps, Linear Networks, Principal Component and Clustering Networks
• State-of-the-art training algorithms including:
  Back Propagation, Conjugate Gradient Descent, Quasi-Newton, Levenberg-Marquardt, Quick Propagation, Delta-Bar-Delta, Kohonen training, Class labeling, Learned Vector Quantization, Radial Sampling, k-Means Center Assignment, k Nearest Neighbor, Isotropic or Explicit Deviation Assignment, Pseudo-Inverse
• Forming ensembles of networks for better prediction performance
• Serial joining of networks for pre-processing and making minimum cost decisions in classification networks
• Selective training of network segments
• Intelligent Problem Solver, a tool for automating neural network architecture and complexity selection as well as input dimensionality reduction
• Feature Selection (including Forwards or Backwards Stepwise Selection and Genetic Algorithm)
• API Support
• Best Network Retention, and more.

• Quality Control Charts
• Interactive Quality Control Charts including:
  Real-time updating of charts, automatic alarm notification, shop floor mode, assigning causes and actions, analytic brushing, dynamic project management
• STATISTICA Visual Basic Language, and more.

• Process Capability Analysis
• Weibull Analysis
• Gage Repeatability & Reproducibility
• Sampling Plans
• Variance Components, and more.

• Fractional Factorial Designs
• Mixture Designs
• Latin Squares
• Search for Optimal 2**k-p Designs
• Residual Analysis and Transformations
• Optimization of Single or Multiple Response Variables
• Central Composite Designs
• Taguchi Designs
• Desirability Profiler
• Minimum Aberration and Maximum Unconfounding 2**k-p Fractional Factorial Designs with Blocks
• Constrained Surfaces
• D- and A-optimal Designs, and more.

• Real-time analytical tools
• A high performance database
• Groupware functionality for sharing queries, special applications, etc.
• Wizard-driven system administration tools
• A sophisticated reporting tool for web-based output
• One-click access to analyses and reports
• Built-in security system
• User-specific interfaces
• Open-ended alarm notification including cause/action prompts
• Interactive querying facilities
• Integration with external applications (Word, Excel, browsers)
• and much, much more...

• Predict QC problems with cutting edge data mining methods
• Discover root causes of problem areas
• Monitor and improve ROI (Return On Investment)
• Generate suggestions for improvement
• Monitor processes in real time over the Web
• Create and deploy QC/SPC solutions over the Web
• Use multithreading and distributed processing to rapidly process extremely large streams of data.

• General Slicer/Dicer Explorer
• General Classifier
• General Modeler/Multivariate Explorer
• General Forecaster
• General Neural Networks Explorer, and more.

Detailed Description

• Uses a Tree-Building technique to extract Association and Sequence rules from data
• Uses efficient and thread-safe local relational Database technology to store Association and Sequence models
• Handles multiple response, multiple dichotomy and continuous variables in one analysis
• Performs Sequence analysis while mining for Association rules in a single analysis
• Simultaneously extracts Association and Sequence rules for more than one dimension
• Given the ability to perform multidimensional Association and Sequence mining and the capacity to extract only rules for specific items, the program can be used for Predictive Data Mining
• Performs Hierarchical Single-Linkage Cluster analysis which can detect the more likely cluster of items that can occur. This has extremely useful, practical real-world applications such as in Retailing.

• An efficient general interface to enterprise-wide repositories of data
• A means for collaborative work (groupware functionality)
• Compatible with (and linkable to) industry-standard enterprise-wide database management systems
• Custom configurations including any applications from the STATISTICA product line, and more.

• Work collaboratively "across the hall" or "across continents"
• Run STATISTICA using any computer in the world (connected to the Internet)
• Offload time-consuming tasks to the servers
• Manage/administer projects over the Web
• Develop highly customized Web applications
• and much, much more…

*For reseller purchases, a receipt is required.

• Basic Statistics & Tables
• Nonparametrics & Distribution Fitting
• Multiple Regression
• MANOVA/MANCOVA
• Nonlinear Estimation, Stepwise Logit/Probit
• Reliability and Item Analysis
• Stepwise Discriminant Function Analysis

• Canonical Correlation Analysis
• Cluster Analysis
• Factor Analysis
• Time Series, Forecasting
• Log-Linear Analysis
• Survival Analysis
• Quick MML Language, and more.

• Basic Statistics & Tables
• Nonparametrics & Distribution Fitting
• Multiple Regression
• ANOVA/ANCOVA
• Quick MML Language, and more.