Instructional Videos

This page presents a series of statistics tutorial videos created by the developers of STATGRAPHICS Centurion, designed to help you learn how to use Statgraphics.

Presented by Dr. Neil Polhemus, the original creator of STATGRAPHICS more than 30 years ago, and current CTO of Statpoint Technologies Inc., these statistics tutorial videos will teach you not only how to use Statgraphics' program but also many of the statistical concepts on which the procedures are built. Creation of the Statgraphics tutorial is an ongoing effort, so check back often.

Introduction to Statgraphics Centurion Version XVII

OVERVIEW
What's New in Version 17? (14:09)
Statgraphics Centurion Version XVII Overview (44:24)
Webinar: Introduction to Statgraphics Centurion Version XVII (1:36:16)

NEW USER INTERFACE FEATURES
Add Objects to a Graph (6:53)
Audit Trails and StatFolio Passwords (8:03)
Creating Header Columns in a Datasheet (1:59)
Highlighting Subsets on a Graph (2:50)
Improved Axis Scaling (6:33)
Record a Video (5:18)
Tabular Options (4:34)
Using the StatLog (6:21)
Value Labels (4:05)
Zoom and Pan (4:49)

NEW DATA VISUALIZATION
Corrgram (Correlation Plot) (5:54)
Demographic Map Brushing (8:36)
Demographic Map Visualiser (5:05)
Deviation Dashboard (7:37)
Interactive Histogram (3:14)
Multivariate Visualizer (13:42)
Open-High-Low-Close Candlestick Plot (15:35)
Probabilistic Fractal (7:04)
1D Visualizer (10:56)
2D Visualizer (8:21)
3D Visualizer (7:53)

NEW STATISTICAL ANALYSES
Bivariate Density Statlet (6:07)
Comparison of Heterogeneous Samples (9:23)
Computer Generated Optimal Designs (16:13)
Control Charts for Overdispersed Rates and Proportions (10:48)
Control Charts for Rare Events (10:24)
Curve-Fitting Statlet (11:42)
Exponential Smoothing Statlet (7:42)
Factorial Repeated Measures Designs (17:05)
Factorability Tests (12:08)
Item Reliability Analysis (6:51)
Kriging (11:45)
MIL-STD 1916 and  ANSI Z1.4 Acceptance Sampling for Attributes (14:39)
MIL-STD 1916 and  ANSI Z1.9 Acceptance Sampling for Variables (13:40)
Oneway Repeated Measures Designs (15:58)
Power Transformations Statlet (10:26)
Process Capability Analysis Statlet (31:33)
Reliability Demonstration Test Plans (9:03)
Sample Size Determination Statlet (8:19)
Surface-Fitting Statlet (10:45)
Ternary Plot (8:51)

LEARNING CENTER SECTIONS

1. Getting Started
2. Data Management
3. Basic Program Operation
4. Tips, Tricks and Other Time-Savers
5. Analyzing a Single Column of Numeric Data
6. What's New in Version XVI?
7. Using the New Version XVI Design of Experiments Wizard
8. Quality Assurance and Six Sigma
9. Things You Won't Find in Minitab or JMP

GETTING STARTED

• Installing STATGRAPHICS Centurion
• Activating the Program
• Regular or Six Sigma Menu?
• A Quick Tour

 DATA MANAGEMENT

• Entering Data by Hand
• Using the Windows Clipboard
• Reading an External Data File
• Querying a Database
• Polling Data in Real Time

 BASIC PROGRAM OPERATION

• What's a StatFolio?
• Modifying Graphs
• Copying Output to Word, Excel and PowerPoint
• Using the StatReporter
• Using the StatGallery
• Saving Output as HTML with StatPublish
• Print and Print Preview
• Using the "Select" Field to Analyze Subsets of Your Data
• Locating Statistical Procedures and Tests using the StatWizard
• Saving System Preferences

 TIPS, TRICKS, AND OTHER TIME-SAVERS

• 4 Tips for New Users
• Calculating Running Totals and First Differences
• Combining 2 Text Columns using JUXTAPOSE
• Constructing a Boolean Variable to Exclude Outliers
• Demonstrating Sampling Variability with the RNORMAL Operator
• Generating Patterned Data
• Repeating an Analysis for Each Level of a "By" Variable
• Transforming Data "On-the-Fly"
• Using Row Numbers as a Variable
• Using the Ctrl Key on Data Input Dialog Boxes
• Using the EXCLUDE Operator to Exclude Rows from an Analysis

 ANALYZING A SINGLE COLUMN OF NUMERIC DATA

• Summarizing the Data Graphically
• Summarizing the Data Numerically
• Testing a Hypothesis
• Do My Data Have Outliers?
• Do My Data Follow a Normal Distribution?
• Determining the Correct Distribution
• Finding the Proper Normalizing Transformation
• Are My Data Independent?

 WHAT'S NEW IN VERSION XVI?

• Analysis of Repairable Systems
• Automated Alerts in SPC Procedures
• Correspondence Analysis
• Dashboard Gage Plot
• Data (DataViewer, file format, variable names, import from other stat packages)
• Design of Experiments Wizard (see Step-by-Step videos in a later section)
• Dynamic Graphics
  • Rotating 3-D Plots
  • Exploring Response Surfaces
  • Zoom and Pan
  • Smoothing Scatterplots
  • Brushing Scatterplots
  • Jittering Points to Avoid Overplotting
  • Labeling Points
• Graphics Profile Designer
• Multiple Correspondence Analysis
• Named Web Colors
• Point Process Modeling
• Repeating an Analysis for Each Level of a "By" Variable
• Sampling Distributions
• Sequential Sampling
• Sharing System Preferences
• 3-D Mesh and Contour Plots
• XML Scripts

 USING THE NEW VERSION XVI DESIGN OF EXPERIMENTS WIZARD

• What's New in STATGRAPHICS for DOE?
• Step 1: Defining the Response Variables
• Step 2: Defining the Experimental Factors
• Step 3: Selecting a Design
• Step 4: Specifying a Model
• Step 5: Selecting a Subset of the Runs
• Step 6: Evaluating the Design
• Step 7: Saving the Experiment
• Performing the Experiment
• Step 8: Analyzing the Data
• Step 9: Optimizing the Responses
• Step 10: Saving the Results
• Step 11: Augmenting the Design
• Step 12: Extrapolating the Fitted Models
• ALL ABOVE STEPS IN A SINGLE PLAYLIST

 QUALITY ASSURANCE AND SIX SIGMA

• Six Sigma Calculator
• Statistical Tolerance Limits

 THINGS YOU WON'T FIND IN MINITAB AND/OR JMP

• The StatAdvisor
• Instant Translation into French, German, Italian or Spanish
• A Six Sigma DMAIC Menu
• Tables are Real Tables and Graphs are Real Graphs
• Basic Plots
  • Dashboard Gage Plot
  • Polar Coordinates Plot
  • Radar/Spider Plot
  • Spherical Coordinates Plot
• Descriptive Statistics
  • Generalized Gamma Distribution
  • Generalized Logistic Distribution
  • Map by State
  • Point Process Modeling
  • Sequential Sampling
• Regression Analysis
  • Comparison of Regression Lines
  • Curve Fitting - Selecting from 27 Nonlinear Models
  • Ridge Regression
• Statistical Process Control
  • Acceptance Control Charts
  • ARIMA Control Charts for Autocorrelated Data
  • Automated Alerts in SPC Procedures
  • Six Sigma Calculator
• The Design of Experiments Wizard (see the special section above)
• Time Series Analysis
  • Automatic Forecasting
  • High-Low-Close Plots
  • Seasonal Decomposition