Cambridge Mathematics IGCSE Extended Probability and Statistics

Cambridge Mathematics IGCSE Extended – Probability and Statistics

4.1 Probability
4.2 Descriptive Statistics
4.3 Representing Data
4.4 Exploring Data
4.5 Linear Correlation

47 Lessons

About the course

This Cambridge Mathematics IGCSE Extended course on probability and statistics is designed to give students a comprehensive understanding of the topic, as well as globally recognised training.

Allowing you to achieve grades between A* and E, this course makes learning straightforward, requiring only a computer, internet connection, calculator, notepad and pen to complete.

Once you have completed this course, you will have developed critical thinking and research skills alongside an in-depth understanding of probability and statistics.

What to expect

This probability and statistics course will guide you through every step of the syllabus strategically. Breaking everything down into manageable sections, you are able to learn, input answers, make corrections and develop your understanding as you work your way through the course.

Enabling you to learn at your own pace and in a location that suits you, mark each section as complete to update your course completion percentage. This great tool helps you to keep an eye on your progress, keeping you motivated while you learn.


  • Everything you need to know about probability and statistics
  • Broken down into sections
  • Learn at your own pace
  • Globally respected course
  • Input and mark answers as you progress
  • Makes learning Cambridge Mathematics courses enjoyable

Course Materials


Introduction to Probability

Experimental Probability

Range of Probabilities

Sample Space

Theoretical Probability

Mutually Exclusive Events

Sampling With Replacement

Complementary Events

Laws of Probability

Conditional Probability

Dependent Events

Independent Events

Using Grids

Tables of Outcomes or Two-Way Tables

Tree Diagrams

Sets and Venn Diagrams


Populations and Samples

Samples and Sampling

Statistical Inquiry

Types of Data

Sample Types

Discrete Data

Continuous Data

Key Statistical Concepts

Measuring the Centre of Data


Frequency Tables

Cumulative Frequency Graphs and Ogive

Box-and-Whisker Plots

Frequency Histogram and Frequency Polygons

Radar Charts

Area Charts

Dot Plots

Stem-and-Leaf Plots

Scatter Plots





Mean from Data in Class

Range and Interquartile Range



Correlation Coefficient

Line of Best Fit