Course Info: NS-0265
| Course | NS-0265 Statistics |
| Long Title | Statistics and Experimental Design |
| Term | 2020S |
| Note(s) |
Textbook information |
| Meeting Info | Cole Science Center 316 on T,TH from 10:30-11:50 |
| Faculty | Elizabeth Conlisk |
| Capacity | 25 |
| Available | 0 |
| Waitlist | 0 |
| Distribution(s) | |
| Cumulative Skill(s) | Quantitative Skills |
| Additional Info | In this course, students can expect to spend 6-8 hours weekly on work and preparation outside of class time. |
| Description | Statistics and Experimental Design was an introduction to descriptive and inferential statistics with examples drawn primarily from the fields of medicine, public health, and ecology. The approach was applied and hands-on; students were expected to complete problem sets twice a week, collect and analyze data as a class, and design and carry out their own examples of each analysis in four review exercises. We covered description, estimation, and hypothesis testing (z-scores, t-tests, chi-square, correlation, regression, and analysis of variance). More advanced techniques such as multi-way ANOVA and multiple regression were noted but not covered in detail. We also discussed the role of statistics in causal inference though the emphasis of the course was on practical applications in design and analysis. The course text was The Basic Practice of Statistics by David S. Moore; students had the choice of using the statistical package R or Minitab for data analysis. |