You can find inspiration from the pool of good projects statistics and success stories, i. Enhance the visibility of your project. Share the results of your project with other people interested in the same topics. Class description This class is a practical introduction to statistical modeling and experimental design, intended to provide essential skills for doing research.
Students with research projects will be encouraged to share their experiences and project-specific questions. Students are expected to attend class and participate in discussions. Coursework will consist of two «practicals»—analyzing simple datasets to solidify core concepts—and two «case studies»—critical reading assignments of actual articles. Each assignment should take roughly one hour. Students are welcome to work in groups, but each student must submit an individual write-up in his or her own words. If you do work in a group, please also indicate with whom you worked.
Finally, as this class is meant to be practical, we welcome any suggestions on topics and teaching style that will help you gain more from this course. What will you get out of this class? Schedule Due to the snowstorm and MIT closing on Tuesday, Jan 27, all classes from then on will be pushed back by one day. Note that Practical 2 will still be due on Tuesday by email! Practicals Each of the practicals involves carrying out some statistical analysis on small, real-world datasets.
Also explain and interpret the results of any exploratory data analysis and statisical inference. Your job is to provide succinct summaries of your analysis, not just copy-paste the computer output. Additional pointers for those using R: This short reference card contains a quick-lookup list of a lot of common functions. If you need more extensive data manipulation, this card is also a good reference.
These assignments should be handed in at the start of class on the day they’re due. Case studies Review two of the articles listed below, or of your own choosing. Each review should be no more than one page. Summary: What was the objective of the study? Summarize the hypothesis, design methodology, analysis approach, and major findings. This is to check whether you understood the study.
Experimental Design: Was the experimental design appropriate for the study? Provide your reasoning for both sound and unsound aspects. Statistical Analysis: Was the statistical analysis sound? Case study papers: pick two from this list or select your own. If you choose your own, you should be able to find at least one sound and unsound aspect of the paper’s statistical and design methodology.
The case studies should be turned in by Friday, January 30 at 11:59 by emailing your writeups to iap-stats AT mit DOT edu. Onlinestatsbook: contains many of the demos used in class. George Chen for co-teaching the class in 2014 and contributing to the development of the curriculum and the notes. Bobby Gramacy for his regression notes. USA Live Stats — Live statistics on the U.