Course Info: CS-0206
| Course | CS-0206 Introduction to Statistics |
| Long Title | Introduction to Statistics |
| Term | 2016F |
| Note(s) |
Satisfies Distribution Textbook information |
| Meeting Info | Adele Simmons Hall 126 on T,TH from 10:30-11:50 |
| Faculty | Ethan Meyers |
| Capacity | 23 |
| Available | -5 |
| 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 | This course was an introduction to statistics that covered descriptive statistics, and both parametric statistical inference methods (e.g., t-tests) as well as the newer computationally-based resampling methods (e.g., permutation tests and confidence intervals based on the bootstrap). The course also discussed how to plot statistical results and run statistical analyses using the R programming language. Students were evaluated based on their performance on weekly worksheet problem set assignments (10 in total) and on three learning checks that assessed the knowledge they had accumulated. |