| Lesson Plan |
| Grade: |
Date: 03/03/2026 |
| Subject: Mathematics |
| Lesson Topic: Probability: rules, conditional probability, mutually exclusive and independent events |
Learning Objective/s:
- Describe sample space, events, and basic probability axioms.
- Apply complement, addition, and multiplication rules to compute probabilities.
- Distinguish between mutually exclusive and independent events and use conditional probability formulas.
- Solve card‑ and dice‑based problems using these concepts.
- Evaluate independence of events through probability calculations.
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Materials Needed:
- Projector or interactive whiteboard
- Printed worksheet with Venn diagrams and card‑deck problems
- Deck of playing cards for demonstration
- Calculators or probability app
- Sticky notes for quick checks
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Introduction:
Start with a quick poll: how many students have recently rolled a die or drawn a card? Review the concepts of sample space and basic probability rules. Explain that today’s success criteria are to correctly identify mutually exclusive versus independent events and to compute conditional probabilities.
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Lesson Structure:
- Do‑now (5') – short quiz on sample space and complement rule.
- Mini‑lecture (15') – present addition and multiplication rules, emphasise differences between mutually exclusive and independent events using Venn diagrams.
- Guided example (10') – work through the heart‑queen card problem, calculate conditional probability and discuss independence.
- Collaborative activity (15') – groups test independence of given event pairs with calculators and record results on the worksheet.
- Check for understanding (5') – exit ticket: one sentence defining mutually exclusive vs independent.
- Summary & reflection (5') – teacher recaps key formulas; students note any remaining questions.
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Conclusion:
We revisited the core probability rules and clarified when events are mutually exclusive or independent. For the exit ticket, each student wrote one example of each type of event. Homework: complete the worksheet on conditional probability and bring a real‑world scenario to discuss in the next lesson.
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