Course Info: NS-0265
| Course | NS-0265 Statistics |
| Long Title | Statistics |
| Term | 2017F |
| Note(s) |
Textbook information |
| Meeting Info | Cole Science Center 316 on T,TH from 2:00-3:20 |
| Faculty | Elizabeth Conlisk |
| Capacity | 20 |
| Available | -4 |
| Waitlist | 2 |
| Distribution(s) | |
| Cumulative Skill(s) | Quantitative Skills |
| Additional Info | In this course students are generally expected to spend at least 6 to 8 hours a week of preparation and work outside of class time. |
| Description | NS265 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 used the statistical package Minitab to conduct data analyses. |