Design of experiments with Statistica - Part 2 (DOE2)

The aim of this product course is to familiarize students with the tools of the data analysis package Statistica, which are offered in the modules Design of Experiments and Higher Models. Participants should become familiar with the program interface and control the result output by selecting special options and buttons in the corresponding dialog interfaces.

Target group:
This course is aimed at specialists in industrial companies who, in the field of research and development or quality assurance, would like to use Statistica software to implement complex procedures in statistical design of experiments.

Course contents:
This course for participants with advanced knowledge in Design of Experiments (DoE) offers an in-depth look at the planning and evaluation of test series with Statistica Professional. The topics:

  • Determining the number of cases for the hypothesis test (power analysis)
  • Selection of influence variables with stepwise regression
  • Taguchi plans for robust processes
  • Creation of D- and I-optimal plans
  • Test evaluation with covariance analysis (ANCOVA)

The training consists of a short explanation of the mentioned procedures and the independent training of the course participants in the context of exercises. Examples in our standard courses are generally understandable data sets from different application areas.

This course requires program knowledge from "Statistica Introduction" (STE) and "Design of Experiments with Statistica - Part 1" (DOE1), as well as advanced knowledge in statistical design of experiments. In order to fully benefit from the training, participants should be proficient in multi-factor variance, regression and covariance analysis.

Supplementary courses:
For participants without sufficient previous knowledge we offer our method courses "Introduction to Statistics" (STA1), "Linear Models" (STA2), "Introduction to Statistical Design of Experiments" (VPL1) and "Advanced Design of Experiments" (VPL2).

Duration: 1 day Time: 9:30 - 17:00 hrs




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