
IB Math AI SL 4.6 – Rules of Probability
This lesson expands students’ understanding of probability by introducing visual and analytical methods to calculate and interpret complex events. Learners use Venn diagrams, tree diagrams, sample space diagrams, and tables of outcomes to represent relationships between events and determine probabilities involving unions, intersections, complements, and conditional cases.
Students explore concepts such as mutually exclusive events, independent events, and conditional probability (A given B), developing an intuitive grasp of how probabilities combine and relate. Worked examples include real-world problems like surveys on preferences and medical testing scenarios, allowing students to model situations where multiple outcomes or dependencies exist.
The lesson emphasizes the use of Venn diagrams to represent overlapping events, tree diagrams to map sequential outcomes, and tables of outcomes to verify event independence. By the end of the lesson, students can calculate probabilities of “A or B,” “A and B,” and “A given B” using clear diagrams and algebraic reasoning, applying these tools to practical problems.
Fully aligned with IB Math AI SL Topic 4.6 – Rules of Probability, this resource builds essential skills for analyzing combined and conditional events, serving as a bridge to higher-level probability and statistics topics.
Something went wrong, please try again later.
This resource hasn't been reviewed yet
To ensure quality for our reviews, only customers who have purchased this resource can review it
Report this resourceto let us know if it violates our terms and conditions.
Our customer service team will review your report and will be in touch.