Support
← Back to Statistics Foundation

Module 2

Descriptive Statistics

This module teaches students how to summarise data using measures of centre, spread, position, shape and group comparison. The focus is not only on calculating summaries, but on interpreting what they reveal about a dataset.

Module aim

Learn how to describe data clearly before probability and inference.

Descriptive statistics gives students the language needed to explain what a dataset looks like before moving into probability, uncertainty, statistical inference and regression.

5

Lessons

Zero

Coding

Foundation

Level

Summary

Focus

Centre

Students learn how typical values can be summarised using the mean, median and mode.

Spread

The module explains why variability matters and how range, IQR, variance and standard deviation describe it.

Shape

Students connect numerical summaries to distribution shape, skewness, outliers and group comparison.

Module lessons

Study descriptive summaries in order.

Each lesson builds a different descriptive skill: identifying the centre of data, measuring variability, using ordered positions, recognising shape and comparing groups responsibly.

Learning route

Complete descriptive statistics before studying probability.

Module 3 assumes that students can describe data clearly using centre, spread, position, shape and comparisons before moving into chance, events and probability rules.

Continue to Module 3 →

Course pathway

Return to the full Statistics Foundation course.

Use the course homepage to move between all five modules, review the full structure and continue through the 26-lesson foundation pathway.

Back to course →