BIOL 3112
Biostatistics
Winter 2026
Topics
- Tutorial (T)
- L1 I'm a biologist/ecologist/
- up to section
- environmental scientist: what and 2.4.2
- up to section 3.7
- am I doing in a statistics class?
- Introduction to R
- L2 7 Correlation, linear (Model I) to section 5.3.14
- section
- regression
- T1 (TA: Abby 9 Tutorial- getting comfortable
- Sim) with R1, Correlation, Model I
- L3 12 Model II regression, Multiple Section 5.3.14, to section
- L4 14 Multiple regression to section 8.1.5
- section 8.3
- (continued), Single factor
Readings
- Recommended: Experimental design and data analysis for biologists, First Edition. G. P. Quinn and M .J. Keough, 2002, First Edition. Cambridge University Press. ISBN: 0 521 00976 6
- Recommended: TUTORIALS: Fridays 8:30 am to 10:30 am, AT 3001
Winter 2019
Topics
- R
- correlation and regression
- ANOVA, contrasts and experimental design
- random and mixed effects
- statistical power
- ANCOVA
- frequency and nonparametric tests
- permutation and bootstrap methods
- generalized linear models
- model selection.
Readings
- Recommended: Quinn and Keough, Experimental Design and Data Analysis for Biologists (2002, Cambridge University Press). Additional readings are assigned for selected advanced topics.
Sources
- Course catalogue ↗2026–2027
- syllabus ↗Winter 2026
- Course source ↗
- syllabus ↗Winter 2019
- Additional readings or course materials are supplied through the course site or course pack.
- The header explicitly lists Biology 3112 and 5171. The snow-day joke about leisure books is excluded from the academic reading list. Final advanced topics were provisional.