BIOL 373 (Fall) - Course introduction; Introduction to data presentation
- Populations and samples; Pseudoreplication; Central tendency and variability
- Introduction to probability
- Normal distribution
- Introduction to hypothesis testing
- One-sample hypotheses
- Two-sample hypotheses: the
*t*-test - Non-parametric statistics: Mann-Whitney; Data transformation
- Paired-sample hypotheses
- Multi-sample hypotheses: single-factor ANOVA
- Multiple comparisons
- Power, sample size, and assumptions in ANOVA; non-parametric ANOVA: Kruskal-Wallis test
- Two-Factor ANOVA with equal replication
- Two-Factor ANOVA: theory and multiple comparisons.
- Two-Factor ANOVA without replication; Randomized block; Repeated measures
- Hierarchical ANOVA, MANOVA
- Linear Regression
- Linear Regression; Hypothesis testing
- Multiple regression, Polynomial Regression, ANCOVA
- Goodness of fit: Chi-square
- Contingency tables
- Advanced topics
*McGill University values academic integrity. Therefore all students must understand the meaning and consequences of cheating, plagiarism and other academic offences under the Code of Student Conduct and Disciplinary Procedures (see*__http://www.mcgill.ca/integrity/__for more information)
Last update: March 2, 2018 |