Design of Experiments (DoE) simply explained

In this video, we discuss what Design of Experiments (DoE) is. We go through the most important process steps in a DoE project and discuss how a DoE helps you to reduce the number of experiments. We then discuss how you can estimate the number of experiments needed and we go through the most common experimental designs: Full factorial design, Fractional factorial design, Plackett-Burman Design, Box-Behnken Design, Central Composite Design. ► DoE Calculator https://datatab.net/statistics-calculator/design-of-experiments ► EBOOK https://datatab.net/statistics-book ► DoE Tutorial https://datatab.net/tutorial/design-of-experiments 0:00 What is design of experiments? 3:12 Steps of DOE project 5:56 Types of Designs 6:26 Why design of experiments and why do you need statistics? 6:47 How are the number of experiments in a DoE estimated? 9:26 How can DoE reduce the number of runs? 10:09 What is a full factorial design? 12:04 What is a fractional factorial design? 15:27 What is the resolution of a fractional factorial design? 21:54 What is a Plackett-Burman design? 22:46 What is a Box-Behnken design? 24:00 What is a Central Composite Design? 24:34 Creating a DoE online