Wolfram Computation Meets Knowledge


Can I Spot a Cheat?

CBM Advanced (ages 16 and up)
1 Certification
Estimated Time: 2hr
Course Level: CBM Advanced (ages 16 and up)
Requirements: This course requires basic working knowledge of the Wolfram Language, common data visualisations (histograms) and empirical and probability distributions.
Certification Levels: Course completion

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Being able to measure variations in data and identify abnormal variation is an important skill in many fields. In the financial sector, for example, fraudulent behaviour can cost huge sums of money. In this course, you will learn how to recognise patterns in data that differ “significantly” from the norm and learn how to provide evidence that the source of one dataset is different to another. You will learn how to use significance levels to quantify how unexpected the patterns or differences were, ultimately writing and interpreting your own hypothesis test.

You'll Learn To

Solve a real problem using the computational thinking process

Define the problem precisely by using a control to compare against

Choose and apply real tools to make decisions about significant differences

Interpret the results of the analysis and present an opinion based upon evidence

Choose significance levels to apply and learn their effect on type I and type II errors

Structure a hypothesis test to enable verification of your findings


This self-study resource is part of the Computer-Based Maths (CBM) project and works in the Wolfram Cloud. It's free and easy to get started using the Wolfram Cloud—sign in with your Wolfram ID or create one. No plan is required. This full interactive course includes video reviews, chapter quizzes and an independent project. A certificate of course completion is available (further certification will be available in the future).

First time with our Computational Thinking modules? Please watch the video.