Instructor Led Analysis Of Variance Training Classes
From Creascience
Screening and Optimization Designs


Target Audience
This applied training session in statistics is aimed at all scientific staff collecting data and making decisions based on them.
Aims
It covers the design of efficient experiments requiring few runs for screening and optimization purposes.
Prerequisites
This three-day course deals with the construction of advanced designs for screening and optimization. It assumes
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Introduction to the Design of Experiments


This course covers the fundamental concepts in statistics in a non-technical and applied way.
This session covers the fundamentals of statistics: the importance of recognizing the type of variables (role in the experiment and the values taken), descriptive statistics, relating variables, inferential statistics (mechanism, what is a p-value, the risks involved in statistical testing, confidence
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Advanced Experimental Designs


This course covers the fundamental concepts in statistics in a non-technical and applied way.
This session focuses on the design and the analysis of more complex experimental designs than those seen in the Introduction to the Design of Experiments course. These designs are used to account for different sources of experimental constraints such as material heterogeneity, physical constraints,
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