Case Studies in Statistical Thinking

This course is designed for individuals who have completed Statistical Thinking I & II and are looking further to develop their statistical analysis skills in a real-world setting. The course covers various topics, such as exploratory data analysis, parameter estimation, and statistical analysis using Python.

One of the key areas of focus in this course is the examination of data from 2013 and 2015 to determine the relative speed of swimmers. This analysis will use statistical techniques to analyze the controversy surrounding the 2013 Worlds, where swimmers claimed a slight current.

Another topic covered in this course is the study of earthquake frequency and magnitude worldwide. Specifically, the course will explore the rise in seismicity in the US, particularly in Oklahoma, and its correlation with high-pressure wastewater injections at oil extraction sites.

Throughout this course, students can expand their understanding of statistics and data analysis by working with real-world datasets. Students will gain valuable insights from these datasets by applying statistical thinking skills and utilizing Python.

Overall, this course aims to equip students with the necessary skills and mindset needed to extract valuable insights from data through statistical analysis. By completing this course, students will be able to apply their statistical thinking skills and exploratory data analysis techniques to real-world scenarios.