Course Info: CS-0149
| Course | CS-0149 Statistics Through Baseball |
| Long Title | Introduction to Statistics Through Baseball |
| Term | 2016S |
| Note(s) |
Satisfies Distribution Textbook information |
| Meeting Info | Cole Science Center 316 on M,W from 1:00-2:20 |
| Faculty | Ethan Meyers |
| Capacity | 23 |
| Available | 6 |
| Waitlist | 0 |
| Distribution(s) |
Mind, Brain, and Information |
| Cumulative Skill(s) | Quantitative Skills |
| Additional Info | In this course, students are expected to spend at least six to eight hours a week of preparation and work outside of class time. This time includes reading, writing, and research. |
| Description | In this class we examined key concepts in statistics using baseball as a motivating example. The class covered standard topics in descriptive and inferential statistics, including how to calculate and plot summary statistics, how to run randomization and parametric hypothesis tests, and how to construct confidence intervals. Students were also taught how to analyze data using the R programming language. The work for this class consisted of 10 worksheets where students had to answer statistics questions and analyze data using the R programming language. Students also had to give two class presentations, write weekly reactions to readings from the book ‘Big Data Baseball’, and had to create a 5-10 page final project report based on analyzing data to answer a question of interest. By successfully completing this class, students developed an understanding of important statistical concepts, and the ability to analyze data in R, which should be useful for analyzing data from a wide range of fields. |