Design-Ease is a Design of Experiments (DoE) software product offering features that goes beyond general statistical packages. Design-Ease offers a wide variety of designs, the flexibility to modify designs, unique evaluation capabilities, graphics to simplify interpretation, an intuitive interface and a greatly expanded help system.

Design Ease designs for your experimental needs

- Standard two-level full and fractional factorials (up to 256 runs) for testing up to 15 factors simultaneously, with optimal (minimum-aberration) blocking choices
- General (multilevel) factorial designs (up to 32,000 runs) for categorical factors with mixed levels
- High-resolution irregular fractions, such as 4 factors in 12 runs
- Taguchi orthogonal arrays
- Placket-Burman designs for 11, 19, 23, 27 or 31 factors in 12, 20, 24, 28 or 32 runs respectively

Design-Ease flexibility in design modification

- Define your own generators for fractional factorial designs
- Ignore a row of data while preserving the numbers
- Add new factors and blocking to existing designs
- Edit factor names and levels even after a design is created
- Change factors from numeric to categoric and back
- Fold over one or more factors for any two-level design
- Easily analyze designs with botched or missing data

Evaluate your experimental design with Design-Ease's unique tools

- Ability to graph any two columns of data on the XY graph (this is a great way to view a block effect)
- Power calculations provide assurance that you can detect effects
- Get all the details you need on aliases, degrees of freedom, leverage, correlation, etc.

Simplify interpretation with powerful graphics in Design-Ease

- Discover significant effects at-a-glance with half-normal or normal probability plots, include points to represent estimates of pure error (if available from your design)
- Select effects using Lenth's criteria or probability values
- See the effects plot in the original scale after transforming the response
- View a complete array of diagnostics graphs to check statistical assumptions and detect possible outliers (bonus feature: predicted-versus-actual graphs with a 45º line)
- See the Box-Cox plot for advice on the best response transformation
- Graph alternative aliased interactions
- Generate interactive 2-D contours and rotatable 3-D graphics
- Edit colors, text and more to produce professional reports

Build confidence with statistical data analysis

- Make substitutions for aliased effects
- Select optional annotated views for assistance with ANOVA interpretation
- Inspect F-test values on individual model terms and confidence intervals on coefficients

Design-Ease's Intuitive Interface

- Easily maneuver through the program: go down the tree, through wizards, and across progressive toolbars
- View numerical outputs spreadsheet style
- Cut and paste graphics to your word processor or presentation, or numbers to or from a spreadsheet
- View several graphs simultaneously using the handy pop-out option

Courses Design of Experiments

Science Plus Group is closely cooperating with CQ Consultancy in Leuven (Belgium) in the field of Design of Experiments (DoE). CQ offers excellent courses that can bring your knowledge to a higher level. Participants in a course can have significant discounts on DoE software and vice versa. Please send an e-mail to info@scienceplus.nl to learn more about course content and data.

Introduction

Research and Development: searching for new products and improving existing processes. This can be accomplished efficiently and optimally only in one way: the way of Experimental Design. Experimental Design, alias Design of Experiments (DOE) or Statistical Design of Experiments (SDE), not only guarantees reaching the preset goal, but on top costs a minimum number of experiments ... on condition that one takes into account the characteristics of the field of application. The optimal strategy of experimenting will be different in chemical industries as compared to for example the automotive industry. This explains the specific context of this course.

DoE Course Information

Three courses on DOE are offered: an introductory course (DOE-I: 4 days), an intermediate course (DOE-II: 2 days), and an advanced course (DOE-III: 1 day). Participants are assumed to have a thorough understanding of some basic statistical techniques (confidence intervals, hypothesis tests, ANOVA). The course Applied Statistics is ideally suited as a preparation to DOE-I. The required foreknowledge can however also be obtained by private study. Participants who opt for private study will receive the necessary course material (a selection of the course material of the Applied Statistics course), twenty days before the start of DOE-I. The same material is also treated in an (optional) preparatory course day.

Science Plus Group is a distributor for this product. You can also visit the StatEase website, the manufacturer of this product.