None.

In this module you will learn a selection of scientific approaches to organise and interrogate business-related data. Emphasis is given to data presentation with the purpose of facilitating understanding. The concept of using statistical inference to make judgements and inform decision-making is explained. You will learn how to reduce complex data to relevant variables. The module concludes with an introduction to statistical modelling using linear regression and an overview is given of general linear models.

Exploring and describing data
Statistical inference – parametric methods, t-tests, and Analysis of Variance
Statistical presentation of data
Multivariate methods – exploratory factor analysis and segmentation methods
Statistical Modelling – OLS regression, general linear models

LO1: Demonstrate an understanding of the application, organising and summarising of quantitative data
LO2: Critically assess the statistical significance between and within groups
LO3: Evaluate and apply appropriate data collection methods to your study
LO4: Critically analyse different forms of data to produce research results
LO5: Understand how to construct and diagnose statistical models in research context
LO6: Critically interpret, summarise, visualise, and discuss research results