Designing and Analyzing Experiments, Pt. 1: An Introduction
Автор: JMP Statistical Discovery
Загружено: 2024-07-02
Просмотров: 3709
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Design of experiments (DOE) is a foundational statistical skill in science and engineering. Using DOE, researchers can develop efficient plans for collecting data and to reveal causal relationships between factors and responses. This webinar, intended for those with little-to-no DOE background, introduces fundamental DOE techniques and how to apply them in JMP. Topics will include:
Designing basic one-factor and factorial experiments
Determining sample sizes for one-factor experiments
Analyzing experimental data with regression models
JMP’s Easy DOE platform
Recorded July 2, 2024. Register for upcoming live JMP Academic webinars at https://www.jmp.com/academic-webinars.
Try JMP: https://www.jmp.com/try
JMP Academic resources: https://www.jmp.com/academic
JMP for Students https://www.jmp.com/student
0:00 Introduction
2:33 Additional Resources
7:15 Overview of Topics
9:07 Analyzing One-Factor Experiments
24:02 Sample Size for One-Factor Experiments
30:53 One-Factor Experiments with Blocks
38:44 Fractional Factorial Experiments
53:13 Easy DOE
58:53 Additional Q&A
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