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Sep 27, 2024
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APST 663 - Design and Analysis of Experiments (3 units)
Statistical methods related to single factor, factorial, repeated measures and split-plot designs in engineering, physical, life, and environmental sciences and statistical programming.
Units of Lecture: 3
Offered: Every Fall
Student Learning Outcomes:
Upon completion of this course:
1. Students will be able to identify key elements in a prose research question or data description (cases/ experimental units, variables, types of variables/ levels of measurement) and make inferences about implicit causal assumptions and parameter of interest.
2. Students will be able to formulate hypotheses symbolically and in writing.
3. Students will be able to make analysis plans and combine statistical power analysis and real-world constraints to develop sample size targets.
4. Students will be able to construct detailed research action places for implementing the proposed statistics and testing the proposed hypotheses.
5. Students will be able to devise and defend a plan for managing missing data.
6. Students will be able to create outlines for reporting and interpreting results, as well as skeleton tables and graphs.
7. Students will be able to identify key elements in output.
8. Students will be able to demonstrate ability to organize a multi-investigator project through file organization and management.
9. Students will be able to demonstrate ability to use a reference manager program.
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