## Design Expert Trainings

Design Expert is a program for design of experiments. Through careful planning of experiments with the help of statistical designs, one can seperate important from unimportant factors, and determine optimal factor settings. Design Expert helps you in an ideal manner and offers full factorial and fractional factorial designs, response surface designs, mixing and D-optimal designs. In other words, everything you need for the efficient use of statistical designs. The particular strength of Design Expert is how easy one can use it, even without much knowledge of statistics.

### Webinar Design Expert

This web-based training introduces Design Expert and refreshes your statistic knowledge. A basic understanding of statistics is essential for creating designs of experiments. The following, detailed list shows the important topics of this training.

##### Objectives:
• Session 1: Statistical Thinking and Descriptive Statistics
• Sample and Population
• Descriptive Statistics - Mean and Median
• Variance and Standarddeviation
• Causes of Variance - Systematic and random Variance, Error in Measurements
• Session 2: The normal distribution and the central limit theorem
• Test for normal distribution
• Central Limit Theorem
• Session 3: Hypothesis Tests
• Concept of statistical Tests
• Null Hypothesis and Alternative Hypothesis
• Desicion rules - Type I and Type II Error
• Confidencelevel, Relevance, Power and Samplesize
• Reference Distribution (optional)
• Session 4: T-Test
• Performing a simple T-Test
• Two Sample T-Test
• Paired Samples: Paired T-Test (optional)
• Interpretation of T-Tests
• Session 5: Analysis of Variances
• Analysis of Variances (ANOVA) and the F-Test
• Sum of Squares
• Degrees of Freedom
• Interpretation of F-Values
• Session 6: Regression
• Applying Regression
• Least squares estimation
• Correlation coefficient, coefficient of determination

##### Prerequisites:

Prerequisites are an Personal Computer with internet access and a internal or external speaker connected to your PC.

Type of training date location price duration languages
Open 01.31.13
03.11.13
07.12.13
10.15.13

Internet

240,- net per person 6 lessons each 45 minutes german, english or french

Interested in this course ?
phone: +49 (0)5542 - 93300
email: vertrieb@statcon.de

### Introduction to the philosophy of experimental design based on Design Expert 8

One of the principles of the Design of Experiments methodology is to create efficient experiments, i.e. gain the maximum information from a minimal amount of individual experimental runs. This introductory class is especially focussed on practical aspects of designing and analyzing experiments. You will learn about the simple two level designs as well as blocked and screening designs. You can identify the vita few factors and reveal interactions. The concept of statistical confidence will be introduced so that you can better judge the results of your experiments. Using real world data you will create and analyze step by step example designs based on Design Expert.

##### Objectives:
• create and analyze two level factorial designs
• using transformations
• understands and use blocking of designs
• create and understand fractional factorial screening designs
• augment designs by adding extra runs systematically
• analyze your designs based on graphical and statistical methods
##### Prerequisites:

Basic knowledge of statistics helps, but is not required. Basic knowledge is imparted in the course if needed.

Type of training date location price duration languages
Open 02.04. - 02.05.13
03.18. - 03.19.13
06.12. - 06.13.13
09.03. - 09.04.13
11.25. - 11.26.13
Nordhessen
Munich
Berlin*
Munich
Berlin
980,- net per person 2 days german, *english
Open (weekend-seminar) 03.23. - 03.24.13
05.25. - 05.26.13
10.19. - 10.20.13
on inquiry 980,- net per person 2 days german, english
(respectively weekend-seminar)
Inhouse on appointment at your location on inquiry 2 days german, english

Interested in this course ?
phone: +49 (0)5542 - 93300
email: vertrieb@statcon.de

### Mixture Design for optimization of recipes (MIX)

Is it your job to optimize recipes or mixtures of several components? In that situation the classical experimental designs i.e. factorial and central composite designs, are not helping you anymore. Special mixture designs are available. This course will comprehensivly introduce the class of powerful mixture designs. You will learn to create designs as well as the statistical and graphical methods to analyze the data. It will be shown how you can setup complex designs which fulfill most of your technical constraints and specifications. Along several real world example you will learn to use the Design Expert Software, to define and analyze mixture designs.

##### Objectives:
• create and analyze Simplex Designs
• create and interpret Contour Plots in the triangulären experimental region
• Designs for constrained mixture variables
• Identify the optimum point
• augment mixture designs
• understand quality measures for mixture designs
• how to choose a proper mixture design
• interpret contourdiagrams and traceplots
##### Prerequsites:

basic knowledge of statistical methods, introduction to DoE based on factorial desings, see our intro course (EDME).

Type of training date location price duration languages
Open 02.13. - 02.14.13
04.17. - 04.18.13
06.26. - 06.27.13
09.18. - 09.19.13
12.11. - 12.12.13
Nordhessen
Munich
Berlin*
Munich
Berlin
980,- net per person 2 days german, *english
Open (weekend-seminar) 03.23. - 03.24.13
05.25. - 05.26.13
10.19. - 10.20.13
on inquiry 980,- net per person 2 days german, english
(respectively weekend-seminar)
Inhouse on appointment at your location on inquiry 2 days german, english

Interested in this course ?
phone: +49 (0)5542 - 93300
email: vertrieb@statcon.de

### " Response Surface Methods" for Product- and Process Optimization using Design Expert (RSM)

In many practical applications of optimization strategies the simple factorial designs are not sufficient to solve the problem. In this course we will cover the response surface methodology (RSM) along many real world examples. Those designs are use to find optimal settings of the response variables in process and product optimization. We will explain the models which are implicit to such desings, so that simulations can be run to identify process windows. The software Design Expert is especially designed for such models. You will deeply learn to know the software in the field of RSM applications.

##### Objectives:
• augments (fractional) factorials with centerpoints
• central-composite desings (CCD), Box-Behnken and other RSM-desings
• select useful regression models
• identify robust sweet spots
• optimize two or more response variables
• learn about quality of desings and compare desings
##### Prerequisites:

basic knowledge of statistical methods, introduction to DoE based on factorial desings, see our intro course (EDME).

Type of training date location price duration languages
Open 02.11. - 02.12.13
04.15. - 04.16.13
06.24. - 06.25.13
09.16. - 09.17.13
12.09. - 12.10.13
Nordhessen
Munich
Berlin*
Munich
Berlin
980,- net per person 2 days german, *english
Open (weekend-seminar) 03.23. - 03.24.13
05.25. - 05.26.13
10.19. - 10.20.13
on inquiry 980,- net per person 2 days german, english
(respectively weekend-seminar)
Inhouse on appointment at your location on inquiry 2 days german, english

Interested in this course ?
phone: +49 (0)5542 - 93300
email: vertrieb@statcon.de

### DoE for Design for Six Sigma (DDFSS)

Use DOE to create products and processes robust to varying conditions, and tolerance analysis to assure your specifications are met. This workshop is a must for Design for Six Sigma (DFSS). Anyone with prior DOE experience and the desire to create an ideal product or process should attend.

##### Objectives:
• How to apply robust design in the Design for Six Sigma (DFSS) setting
• Which design of experiment is best for verification studies
• Putting propagation of error (POE) to use for optimizing factor levels and minimizing sensitivity to noise
• Comparing the pros and cons of worst-case tolerancing, statistical tolerancing, and process tolerancing
• Improving the process capability indexes (Cpk's) for your process via tolerance analysis
##### Prerequisites:

Prerequisite is an Advanced DOE proficiency. You should have a working knowledge of factorial design and response surface methods. We recommend you take our "Introduction to Design of Experiments using Design Expert" and "Response Surface Methods for Process Optimization" workshops as prerequisites.

Type of training date location price duration languages
Open on request       german, english
Inhouse on appointment at your location on inquiry   german, english

Interested in this course ?