An Adventure in Statistics (976C8)

15 credits, Level 7 (Masters)

Autumn teaching

An adventure in statistics consists of a series of lectures and practical classes, mainly aimed at introducing or re-introducing postgraduate students to statistical models. The lectures are aimed at delivering background theory and the practical classes are designed around interactive tutorials that put the theory from the lecture into practice using the open source (and free) statistics software R (implemented in RStudio). Through these tutorials students 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
  • Categorical outcomes (logistic models)
  • Implementation of the above in R and RStudio

Teaching

33%: Lecture
67%: Practical

Assessment

100%: Coursework (Report, Take away paper)

Contact hours and workload

We’re currently reviewing contact hours for modules and will update with further information as soon as it is available.

This module is running in the academic year 2020/21. We also plan to offer it in future academic years. It may become unavailable due to staff availability, student demand or updates to our curriculum. We’ll make sure to let our applicants know of such changes to modules at the earliest opportunity.

Courses

This module is offered on the following courses: