MATH 261B Design and Analysis of Experiments
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The MATH 261B Design and Analysis of Experiments course module offers a meticulous introduction to product and process design enhancement by means of quality and performance optimization. The main aim of this course is to pass on students a comprehensive view of the basics of experimental designs, assessment tools and methods, interpretation along with applications.
Learning objectives:
- Recognizing the apt statistical model for a specific experimental method.
- Persuading the validity of presumption for a specific model for a particular data set.
- Phrasing and testing meaningful hypotheses for the linear models.
- Examining data by means of statistical software and formulating conclusions in the suitable context of the problem.
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