An Adventure in Statistics (976C8)
15 credits, Level 7 (Masters)
Autumn teaching
This module consists of a series of lectures and practical classes, mainly aimed at introducing or re-introducing you to statistical models.
The lectures are aimed at delivering background theory, while the practical classes are designed around interactive tutorials that put the theory from the lecture into practice using the free, open source statistics software R (implemented in RStudio).
Through these tutorials you should develop a good working knowledge of RStudio and R.
Topics may include:
- the linear model
- key concepts (parameters, estimation, standard error, confidence intervals)
- hypothesis testing, effect sizes and Bayes factors
- bias and assumptions of the linear model
- categorical predictors in the linear model (ANOVA)
- factorial designs and covariates
- repeated measures designs
- multilevel models (HLM)
- growth models
- gategorical outcomes (logistic models)
- implementation of the above in R and RStudio.