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Here is a list of the new features:
Table of the common statistical values based on the experimental data of each run and values based on all data set.

Table of Omega Transformation value (OT) and Reverse Sine Transformation value (SinT) applied to the mean of each run.

Ranking Response tables for all type of analyses. The user can configure which Response table will be shown or hidden.

New Equation Editors for User defined Signal-to-Noise ratio and data transformation.

New dialog for setting up factor-level combinations (Initial and/or Optimum) for the estimated process output calculations for all types of analyses and a dialog for selecting a method for the ANOVA table pooling.

In the Dynamic Characteristics case the mean (m), the estimated mean (μ hat) for conditions defined can be shown at each level of the Signal factor as well as the Grand mean.

In the Dynamic Characteristics case when Signal-to-Nose estimation study the gain of the estimated average S/N ratio (h hat) - Optimum condition value vs. Initial condition value - will be calculated and shown as well as Variation Range Reduction that corresponds to the gain (if any).

New view for the Summary of Prediction results (Initial conditions vs. Optimum conditions) with the plotted estimated mean values and the best fit line for the defined conditions. The spreadsheets with the results of calculations will be shown as well.

The method to conduct the Confirmation run calculation has been implemented as close as possible to the latest ASI Workshop Manual, to be in correspondence with Prediction and Estimation step of Taguchi Methods. The Confirmation Run data Tabs keep spreadsheets with data for the conditions that were set up on the Prediction and Estimation step. Results of calculations for each applicable type of analysis shown as Confirmation vs. Prediction, Optimum vs. Initial if applicable.

New Summary of Confirmation Run view with the best fit lines for the defined conditions, the mean value for each Signal factor level and confirmation runs data plotted. The spreadsheets keep results of calculations.

Print Preview dialog for generated data forms.

The PDF file of User’s Guide is distributed with software.

Compatible with Microsoft Windows 32-bit Operating Systems
Support for up to three outer groups
Variable and Attribute Data Analyses
Mean, Signal-to-Noise Ratio, and Sensitivity Analyses
Dynamic Characteristics
Combination Design
Idle Column Design
Dummy Treatments
Estimation and making Predictions
Confirmation Runs
Online User's Guide
New and enhanced version of DesignArray

ANOVA-TM will help you to conduct the best and most thorough analysis of any kind of data!