STAT 511  Methods of Data Analysis I: 3 Credits (2 Lec, 1 Lab)

PREREQUISITE: STAT 216Q or equivalent or STAT 500. (F, Sp) For non-statistics graduate students. Introduction to statistical inference and design, t-tools, non-parametric alternatives, one-way ANOVA, simple linear regression and multiple linear regression, with an emphasis on statistical thinking, appropriate inference, interpretation of results and writing. Semester project required

View Course Outcomes:

1. Explain the fundamental concepts of statistical inference.
2. Explain the connections among the randomization distribution, permutation distribution, sampling distribution, and the commonly used t-distribution.
3. Recognize the connections between study design and appropriate statistical analysis and scope of inference
4. Demonstrate understanding of a basic linear model using the reference-level parameterization and the meaning of the parameters of the model
5. Demonstrate ability to appropriately tie a question of interest to a model parameter
6. Demonstrate understanding of the assumptions underlying common models and methods, and how to critique and check appropriateness of those assumptions
7. Demonstrate a basic understanding of using statistical software to perform data analysis
8. Demonstrate a basic understanding of using computer software to investigate statistical concepts through simulation
9. 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
10. Demonstrate ability to critically evaluate conclusions made from a statistical analysis
11. Demonstrate ability to recognize common mistakes made in statistical analysis, interpretation, and inference in general
12. 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.