6.941 Statistics for Research Projects: Statistical Modeling and Experiment Design
Practical introduction to data analysis, statistical modeling, and experimental design, intended to provide essential skills for conducting research. Covers basic techniques such as hypothesis-testing and regression models for both traditional experiments and newer paradignms such as evaluating simulations. Assignments reinforce techniques through analyzing sample datasets and reading case studies. Students with research projects will be encouraged to share their experiences and project-specific questions.
This class has no prerequisites.
6.941 will not be offered this semester.
This class counts for a total of 6 credits. This is a graduate-level class.
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