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EDEXCEL GCSE FOUNDATION MATHS - What are Tree Diagrams

Author Zak  |  Date 2024-10-21 20:39:22  |  Category Maths
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Edexcel GCSE Foundation Maths: What are Tree Diagrams?

Introduction

Tree diagrams are a powerful tool used in probability to visualize and calculate the outcomes of multiple events. They help us understand the different possibilities and their probabilities, making it easier to calculate the probability of specific events occurring.

Understanding Tree Diagrams

A tree diagram is a visual representation of all possible outcomes of an event. It consists of:

Building a Tree Diagram

Let's take an example:

Event 1: You toss a fair coin (outcomes: Heads (H) or Tails (T)) Event 2: You roll a standard six-sided die (outcomes: 1, 2, 3, 4, 5, or 6)

Building the tree diagram:

  1. Start with a node representing the first event (Coin toss).
  2. Draw two branches from this node, one for each outcome (H and T).
  3. Label each branch with the corresponding probability (1/2 for each branch).
  4. From each of the branches representing the coin toss, draw further branches for the second event (die roll).
  5. Label these branches with the six possible outcomes (1, 2, 3, 4, 5, 6) and their probabilities (1/6 for each).

The completed tree diagram would look like this:

        Coin Toss      
       /          \
      H (1/2)     T (1/2)
     /  \      /    \
    1(1/6) 1(1/6)  1(1/6) 1(1/6)
   /  \    /  \    /  \    /  \
  2(1/6) 2(1/6)  2(1/6) 2(1/6)
   \  /    \  /    \  /    \  /
   3(1/6) 3(1/6)  3(1/6) 3(1/6)
    \  /    \  /    \  /    \  /
   4(1/6) 4(1/6)  4(1/6) 4(1/6)
    /  \    /  \    /  \    /  \
  5(1/6) 5(1/6)  5(1/6) 5(1/6)
   \  /    \  /    \  /    \  /
   6(1/6) 6(1/6)  6(1/6) 6(1/6)

Using Tree Diagrams

Tree diagrams help us understand the following:

For example:

Conclusion

Tree diagrams are an essential tool for understanding and calculating probabilities. By using them, we can visualize all possible outcomes, their probabilities, and easily calculate the probability of specific events. This makes them a valuable resource for solving a wide range of probability problems.