Statistics

This comprehensive resource provides step-by-step guidance on how to organise, summarise and interpret quantitative information. It covers fundamental descriptive statistics, helping you understand the differences between categorical and numerical variables. You will learn how to calculate and interpret key measures of central tendency and dispersion – such as the mean, median, mode, range, interquartile range and standard deviation – while discovering how to effectively display data using histograms, boxplots and scatterplots.

The guide focuses on practical application, ensuring you can confidently describe data distributions and identify patterns like symmetry or skewness. By mastering these foundational concepts, you will learn how to analyse relationships between variables and draw accurate conclusions from data summaries. Whether you are working on a lab report or analysing business metrics, this resource builds the essential numeracy skills required to back your academic arguments with solid statistical evidence.