Learning objective

Compare distributions by examining measures of central tendency and dispersion, such as identifying which distribution has higher values or is more consistent based on known means and standard deviations.

Read the explanation, check the common trap, then practise with flashcards and questions.

Practise this topic Read the exam answer Topic hub

Exam focus

Read the explanation.
Check key terms.
Practise with linked questions.

Cambridge IGCSE StatisticsTransformations of data sets

Study support

Understand this objective

Quick explanation

Compare distributions by examining measures of central tendency and dispersion, such as identifying which distribution has higher values or is more consistent based on known means and standard deviations

This point belongs to Transformations of data sets, especially Transformations of data sets outcomes.
You need to be able to compare distributions by examining measures of central tendency and dispersion, such as identifying which distribution has higher values or is more consistent based on known means and standard deviations.
The key ideas to know are Compare and Justify.
Use the linked flashcards and practice questions to check recall, then practise applying the idea in an exam-style answer.

Key concepts

CompareJustify

Why it matters

This objective helps connect Transformations of data sets outcomes to exam-style questions, flashcards, and revision notes for Transformations of data sets.

Revision tools