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Six Sigma
Multivariate Six Sigma
Process Analytical Technology

The Help menu on the main STATGRAPHICS Centurion menu also provides access to PDF files documenting each of the statistical procedures. A list of those documents is given below:

A
Acceptance Charts
Acceptance Sampling (Attributes)
Acceptance Sampling (Variables)
Analysis Procedures
ARIMA Charts
Arrhenius Plot
Automatic Forecasting
Automatic Forecasting SnapStat
B
Barchart
Bicubic Spline
Box-and-Whisker Plot
Box-Cox Transformations
Bubble Chart
C
C Chart
Calibration Models
Canonical Correlations
Capability Analysis (Defects per Unit)
Capability Analysis (Percent Defective)
Capability Analysis (Variable Data)
Capability Assessment SnapStat
Cause-and-Effect Diagram
Cluster Analysis
Comparison of Proportions
Comparison of Rates
Comparison of Regression Lines
Component Line Chart
Contingency Tables
Control Chart Design
Cost-of-Quality Trend Analysis
Cox Proportional Hazards
Crosstabulation
Cubic Spline
Curve Fitting SnapStat
Cuscore Charts
Custom Chart
Cusum Charts (Tabular)
Cusum Charts (V-Mask)
D
Data Files and StatLink
Design of Experiments
Discriminant Analysis
Distribution Fitting (Censored Data)
Distribution Fitting (Uncensored Data)
DOE - Augment Design
DOE - Inner-Outer Arrays
DOE - Mixture Designs
DOE - Multi-Factor Categorical Designs
DOE - Multilevel Factorial Designs
DOE - Multiple Response Optimization
DOE - Optimize Design
DOE - Response Surface Designs
DOE - Screening Designs
DOE - Single Factor Categorical Designs
DOE - Variance Component Designs
Dot Diagram
Dynamic Data Processing and Analysis
F
Factor Analysis
Factor Means Plot
File Menu
Forecasting
Frequency Histogram
G
Gage Linearity and Accuracy
Gage R&R SnapStats
Gage Studies - Analytic Method
Gage Studies - ANOVA Method
Gage Studies - Average and Range Method
Gage Studies - Range Method
Gage Studies - Risk Analysis Method
Gage Studies - Signal Theory Method
Gage Study Setup
General Linear Models
Graphics Options
H
High-Low Close Plot
Hypothesis Tests (One Sample)
Hypothesis Tests (Two Samples)
I
Individuals Control Charts
H
Life Data Regression
Life Tables (Intervals)
Life Tables (Times)
Logistic Regression
M
Map by State
Matrix Plot
Median and Range Charts
Median Polish
Moving Average (MA) Charts
Multifactor ANOVA
Multiple Barchart
Multiple Box-and-Whisker Plot
Multiple Dot Diagram
Multiple Regression
Multiple Sample Comparison
Multiple Sample Comparison SnapStat
Multiple Variable Analysis
Multiple X-Y Plot
Multiple X-Y-Z Plot
Multi-Vari Chart
Multivariate Capability Analysis
Multivariate EWMA Chart
Multivariate T-Squared Chart
N
Negative Binomial Regression
Neural Network Classifier
Nonlinear Regression
Normal Probability Plot
NP Chart
O
One Sample Analysis SnapStat
One Variable Analysis
One-Way ANOVA

Outlier Identification
P
P Chart
Paired Sample Comparison
Paired Sample Comparison SnapStat
Pareto Analysis
Partial Least Squares
Piechart
Poisson Regression
Polar Coordinates Plot
Polynomial Regression
Power Transformations
Preferences
Principal Components
Probability Distributions
Probability Plots
Probit Analysis
Process Mapping
Q
QFD Matrix
R
Radar-Spider Plot
References
Regression Model Selection
Ridge Regression
Rowwise Statistics
Run Chart
S
Sample Size Determination (One Sample)
Sample Size Determination (Two Samples)
Screening Design Selection
Seasonal Decomposition
Simple Regression
Six Sigma Calculator
Spherical Coordinates Plot
StatFolios
StatGallery
STATGRAPHICS Operators
Statistical Tolerance Limits
StatPublish
StatReporter
StatWizard
Subset Analysis
Surface and Contour Plots
T
Tabulation
Time Series - Descriptive Methods
Time Series - Smoothing
Toolbar Shortcuts
Toolwear Charts
Two Sample Comparison
Two Sample Comparison SnapStat
U
U Chart
V
Variance Components Analysis
View, Window, and Help Menus
W
Weibull Analysis
X
X Plot
X-bar and R Charts
X-Bar and S Charts
X-Bar and S-Squared Charts
X-Y Plot
X-Y-Z Plot



 

 
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