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Data and AI

Statistics and Probability

Reason about variation, chance, samples, estimates, and the limits of data-driven claims.

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Level
Secondary school to introductory university
Subject area
Data and AI
Learning outcomes
4 focused outcomes

Topic overview

Learn the foundations of Statistics and Probability.

Statistics is the language of variation. Learners need to connect calculations to study design, distributions, sampling, and the uncertainty around every estimate.

Learning outcomes for Statistics and Probability

  1. 1

    Describe center, spread, shape, and unusual values

  2. 2

    Model simple chance events and conditional probability

  3. 3

    Distinguish samples, populations, and sources of bias

  4. 4

    Interpret intervals, tests, and associations cautiously

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Suggested route

How to learn Statistics and Probability step by step.

01

Build the foundation

Describe center, spread, shape, and unusual values

02

Practise with feedback

Model simple chance events and conditional probability

03

Practise with feedback

Distinguish samples, populations, and sources of bias

04

Apply and reflect

Interpret intervals, tests, and associations cautiously

Check and review

Practise and review Statistics and Probability.

Self-test

Data and AI literacy self-test

Review data quality, visualization, model training, evaluation, bias, privacy, and responsible use of generative AI.

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