STAT 512  Methods of Data Analysis II: 3 Credits (2 Lec, 2 Lab)

PREREQUISITE: STAT 411/STAT 511 (co-convened). (F, Sp) Continuation of STAT 411/STAT 511 to cover principles of experimental design, multi-factor ANOVA, repeated measures, logistic regression, Poisson log-linear regression, and introductions to multivariate and time series analyses, with an emphasis on statistical thinking, appropriate inference and interpretation, and writing. A semester project is required. Co-convened with STAT 412

View Course Outcomes:

1. Builds on the learning outcomes from STAT 511 to extend them to more sophisticated study designs and analysis procedures.
   Explain the fundamental concepts of statistical inference
   Explain the connections among the randomization distribution, permutation distribution, sampling distribution, and the commonly used t-distribution.
   Recognize the connections between study design and appropriate statistical analysis and scope of inference
   Demonstrate understanding of a basic linear model using the reference-level parameterization and the meaning of the parameters of the model
   Demonstrate ability to appropriately tie a question of interest to a model parameter
   Demonstrate understanding of the assumptions underlying common models and methods, and how to critique and check appropriateness of those assumptions
   Demonstrate a basic understanding of using statistical software to perform data analysis
   Demonstrate a basic understanding of using computer software to investigate statistical concepts through simulation
   Demonstrate ability to write statistical reports including justification for assumptions and decisions made, a concise summary of findings interpreting results in the context of the problem, and a written description of the scope of inference of the findings
   Demonstrate ability to critically evaluate conclusions made from a statistical analysis
   Demonstrate ability to recognize common mistakes made in statistical analysis, interpretation, and inference in general
   Complete a final project demonstrating that the above learning outcomes are combined in the context of a real study.  In this process students will also demonstrate ability to effectively take part in a peer review process.