Sampling Fraction
S.D. Ratio
Scalable Software Systems
Scaling
Scatterplot, 2D
Scatterplot, 2D - Categorized Ternary Graph
Scatterplot, 2D - Double-Y
Scatterplot, 2D - Frequency
Scatterplot, 2D - Multiple
Scatterplot, 2D - Regular
Scatterplot, 2D - Voronoi
Scatterplot, 3D
Scatterplot, 3D - Ternary Graph
Scatterplot Smoothers
Scheffe's test
Score Statistic
Scree Plot, Scree Test
Semi-Partial Correlation
SEMMA
Sensitivity Analysis (in Neural Networks)
Sequential Contour Plot, 3D
Sequential/Stacked Plots, 2D
Sequential/Stacked Plots, 2D - Area
Sequential/Stacked Plots, 2D - Column
Sequential/Stacked Plots, 2D - Lines
Sequential/Stacked Plots, 2D - Mixed Line
Sequential/Stacked Plots, 2D - Mixed Step
Sequential/Stacked Plots, 2D - Step
Sequential/Stacked Plots, 2D - Step Area
Sequential Surface Plot, 3D
Shapiro-Wilk's W test
Shewhart Control Charts
Short Run Control Charts
Shuffle data (in Neural Networks)
Shuffle, Back Propagation (in Neural Networks)
Sigma Restricted Model
Sigmoid function
Signal detection theory
Simple Random Sampling (SRS)
Simplex algorithm
Single Censoring
Singular Value Decomposition
Skewness
Slicing (Categorizing)
Smoothing
SOFMs (Self-organizing feature maps; Kohonen Networks)
Softmax
Space Plots 3D
SPC
Spearman R
Special Causes
Spectral Plot
Spikes (3D graphs)
Spinning Data (in 3D space)
Spline (2D graphs)
Spline (3D graphs)
Split Selection (for Classification Trees)
Splitting (Categorizing)
Spurious Correlations
Square Root of the Signal to Noise Ratio (f)
Stacked Generalization
Stacking (Stacked Generalization)
Standard Deviation
Standard Error
Standard Error of the Proportion
Standard residual value
Standardization
Standardized DFFITS
Standardized Effect (Es)
Stars (Icon Plots)
Stationary Series (in Time Series)
STATISTICA Enterprise-wide Data Analysis System
STATISTICA Data Miner
STATISTICA Enterprise-wide SPC System
STATISTICA Neural Networks
Statistical Power
Statistical Process Control (SPC)
Statistical Significance (p-level)
Steepest Descent Iterations
Steps
Stepwise Regression
Stopping Conditions
Stopping Conditions (in Neural Networks)
Stopping Rule (in Classification Trees)
Stratified Random Sampling
Stub and Banner Tables
Student's t Distribution
Studentized Deleted Residuals
Studentized Residuals
Sum-squared error function
Sums of Squares (Type I, II, III (IV, V, VI)) 
Sun Rays (Icon Plots)
Supervised Learning (in Neural Networks)
Suppressor Variable
Surface Plot (from Raw Data)
Survival Analysis
Survivorship Function
Sweeping
Symmetric Matrix
Symmetrical Distribution
Synaptic Functions (in Neural Networks)