# Productdetails

## STATGRAPHICS Centurion

STATGRAPHICS Centurion is the latest version of STATGRAPHICS, the widely used statistical software package for data analysis, statistical modeling, quality improvement and Six Sigma. It contains over 230 statistical procedures for:

- Exploratory data analysis
- Regression and analysis of variance
- Distribution fitting
- Statistical process control
- Design of experiments
- Six Sigma
- Reliability and life data analysis
- Time series analysis & forecasting
- Multivariate methods
- Nonparametric techniques

STATGRAPHICS Centurion is designed for anyone who wishes to do serious data analysis without investing weeks learning how to use a statistical package. It contains over 230 statistical procedures, covering everything from summary statistics to design of experiments. Yet you don't need to be a statistician to use the program. Everything is completely menu-driven, and there are tools such as the StatWizard and StatAdvisor to help you use the program most effectively.

## Six Reasons to Select STATGRAPHICS Centurion

- Time is money, especially when it's yours. With
**STATGRAPHICS**intuitive interface and dynamic data handling, you'll cut your analysis time dramatically - Statistics doesn't need to be a foreign language. The StatAdvisor interprets statistical output in clear, concise terms that won't leave you wondering about the significance of your results.
- Most data don't come from a textbook.
**STATGRAPHICS**was designed for use outside the classroom, where data aren't always normal, or independent, or free from outliers - Graphs shouldn't be an afterthought. In
**STATGRAPHICS**, graphs are an integral part of the analysis, used to provide insights that can't be gained from tabular displays - Knowledge is power, but only when it's shared. The StatReporter makes it easy to copy results to other applications or to disseminate results in RTF or HTML format
- Achieving Six Sigma quality requires clarity of vision. Only
**STATGRAPHICS**has the tools to translate data into knowledge and knowledge into a better bottom line

### Visualization of Statistical Data

Statgraphics was the first statistical software program adapted for the PC, the first to introduce integration of graphics into every statistical procedure, and the originator of point-by-point assistance tools and countless other groundbreaking features to simplify your tasks.

**Laney P' and U' Control Charts**

New control charts have been added to monitor overdispersed rates and proportions. Tests have been added to the existing P and U charts to determine when these charts should be used.

**Deviation Dashboard**

This new Statlet indicates the status of multiple variables by displaying how much they deviate from their respective means. The primary format shows each variable using a vertical bar, the color of which indicates how many standard deviations the variable is from its mean. The controls on the Statlet toolbar interactively change the time period for which the data is displayed.

**Computer Generated Designs**

Computer Generated designs, created by the DOE Wizard, are experimental designs which have optimal properties with respect to the estimation of specific statistical models. Given the definition of an experimental region (including linear factor constraints), a model to be estimated, and the number of experimental runs that can be performed, the program searches for a set of runs that maximize a selected design criteria (A, D, G or I optimality).

**MIL-STD-105E, 414, and 1916 Acceptance Sampling Plans for Attributes and Variables**

New procedures calculate the required sample sizes for implementing standard acceptance sampling plans. The plans include "zero acceptance number" sampling plans in which a lot of N items is accepted if a sample of n items has no nonconforming members. Single, double and multiple sampling plans are included.

**Dynamic Visualizers for Multiple Time Series**

Three new Statlets have been developed to help users visualize the changes in multiple variables over time. Given n time series observed over p time periods, the program generates a dynamic display that illustrates how each of the variables has changed over time. The controls on the Statlet toolbar let the user change the period for which the data are displayed.

**Repeated Measures ANOVA**

New procedures have been added to facilitate the analysis of oneway and twoway repeated measures designs.Included in the procedures is Mauchley’s test for sphericity, which is a condition requiring that the variance between any two estimated treatment means be the same. Corrections to the standard F-test are included for cases when sphericity is not present. Alternative MANOVA tests are also included.

**Graphics - Object Editing**

New features available in all graphs include: addition of objects such as arrows, lines and rectangles; highlighting selected objects such as selected bars in a histogram; interactive manipulation of text font sizes; improved recording of videos; enhanced zoom and pan; highlighting of points by a secondary variable.

**Audit Trails and Electronic Signatures**

Statgraphics adds an electronic signature to the audit trail, created from the username and computer name of the active Windows session.

**Multivariate Visualizer**

This new Statlet is designed to plot multiple time series in a manner that helps users visualize the changes in multiple variables over time. Given nsamples for each of m variables observed over p time periods, the program generates a dynamic display that illustrates how each of the variables has changed over time.Several different types of plots may be created, including barcharts, piecharts, profile plots, strip plots, starplots, and Chernoff faces. As time evolves, the analyst can follow changes in all of the variables and all of the samples simultaneously.

**G and T Control Charts**

These new procedures create control charts for the length of time between the occurrence of rare events. They are based on the geometric and Weibull distributions, respectively. These type of charts are used frequently in the health sciences to monitor the occurrence of events such as post-surgical infections. Input data may consist of either the times at which events occurred or the length of time between events.

**Reliability Demonstration Test Plans**

This new Statlet creates test plans to demonstrate that a failure time distribution satisfies stated conditions. For example, it may be desired to show with 95% confidence that the reliability of a product equals or exceeds 90% at the end of the warranty period. During the demonstration, n units will be tested for a duration equal to t. The demonstration will be considered successful if no more than f units fail during the test. The user specifies either the number of units to be tested or the duration of the test. The procedure solves for the other quantity.

**Item Reliability Analysis**

This new procedure is designed to estimate the reliability or consistency of a set of variables. It is commonly used to assess how well a set of questions in a survey, each of which is designed to illicit information about the same characteristic, give consistent results. The major output of the procedure is Cronbach’s alpha. Alpha may be calculated directly from the input variables, or the variables may first be standardized so that they have equal variances. The effect on alpha when each variable is separately omitted is also estimated, so that unreliable questions can be identified.

**Open-High-Low-Close Candlestick Plot**

This new Statlet is designed to plot security prices in a manner often used by stock traders. It shows the opening price for each trading session, high and low prices during the session, and the closing price using a graphical image often referred to as a candlestick. Trading bands may be plotted around the smoothed line at either a fixed percentage or using the method developed by Bollinger.Trading volumes may also be displayed as bars along the bottom of the plot.

**Value Labels**

Value labels may now be associated with numeric columns. Value labels are character strings that replace specific values in the column when output for that column is displayed. For example, stock analysts sometimes classify individual securities as "Strong Buy", "Buy", "Hold", "Sell", or "Strong Sell". Rather than entering those strings in a character column, it is often easier to enter numbers such as 1, 2, 3, 4 or 5 in a numeric column. By creating value labels that correspond to each of those numbers, you can have the strings appear in all output in place of the corresponding numbers.

**Increased Data Capacity**

Statgraphics has been enhanced so that it can handle larger data sets than earlier versions. Rather than loading all of the data into the databook, only a limited number of records are loaded at any time for viewing. The algorithms for calculating various statistics have also been reworked to handle more data.

**Ternary Plots**

This new procedure may be used to create a scatterplot of 3 variables which always sum to a constant value. It shows the values of the variables on a plot shaped like an equilateral triangle. It is sometimes called asimplex plot or a de Finetti diagram.

**Session Log (StatLog)**

A new window called the StatLog appears by default whenever Statgraphics is loaded. The StatLog stores information about the current session. Certain information is always included, such as the opening and closing of files and the creation of analysis windows. Other information, such as the contents of statistical tables and graphs, is only included if specified on the Preferences dialog box.

**StatFolio Passwords**

Both owner and user passwords may now be added to a StatFolio. Owners have unlimited privileges and may change a StatFolio in any manner. Users are limited to the privileges specified on the dialog box.

**Factorability Tests**

New tests have been added to the Factor Analysis and Principal Components procedures to determine whether it is useful to extract factors from a set of variables. The factorability tests include the Kaiser-Meyer-Olsen (KMO) measure of sampling adequacy and Bartlett’s test of sphericity.

**Surface-Fitting Statlet**

This new procedure estimates response surfaces involving a dependent variable Y and two independent variables X1 and X2. Surfaces may be estimated using either a parametric model or a nonparametric LOWESS smooth. A slider on the Statlet toolbar may be used to interactively change either the powers in the parametric model or the width of the LOWESS smoothing window.