Glossary of experimental design

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Explores model formulas in R, covering basics, interactions, ANOVA, and factorial designs with practical examples.

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Emphasizes the critical importance of understanding statistics to avoid errors in research and decision-making, using motivating examples and practical exercises.

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Covers the fundamentals of Design of Experiments (DOE) and experimental strategies.

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Introduces the CS411 Class Project, where students design and test a lesson using learning theories.

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Explores Signal Detection Theory and its impact on decision-making processes in statistics and experimental design.

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Discusses experimental design strategies, factors, responses, treatment combinations, and degrees of freedom.

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Covers statistical design of experiments, focusing on minimizing costs and maximizing accuracy.

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Explores qualitative factors in Design of Experiments, including Latin squares, factorial designs, and ANOVA tables.

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Covers the essentials of ANOVA, explaining its concept, calculations, assumptions, and interpretation of results.

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