Statistics II module (MA22004)
In this module, you will learn statistical inference, the process of using observational or sample data together with statistical models to judge a population's characteristics. You will learn the mathematical theory underpinning a variety of popular inferences and gain experience conducting statistical analyses using real-world examples that illustrate the power of quantitative reasoning as a tool for social justice.
You will learn to use the statistical software R, an open-source industry standard, to generate descriptive statistics and modern visualisations, perform statistical analyses, and create reproducible reports for open science. You will gain practical experience through interactive R-programming labs and report writing to hone skills in conducting, interpreting, and communicating statistical analyses. Experiential, peer-guided learning opportunities, such as workshops and data collection and curation field trips, will complement your seminars. This module will develop your quantitative and data analysis skills for application in industry and business and prepare you to explore core areas of theoretical and applied statistics.
- Exploratory data analysis and data visualisation with R
- Explaining the central role of variability in the field of statistics
- Sampling distributions and their properties
- Point estimation, interval estimation, and hypothesis testing
- Linear models, least squares regression, linear model predictions, and assessing linear models
- Analysis of variance for a single factor
- Goodness-of-fit tests for a single factor and for independence of two factors
This module is available on following courses: