Learn on PengiPengi Math (Grade 7)Chapter 10: Probability Models and Compound Events

Lesson 4: Compound Events: Tree Diagrams

In this Grade 7 lesson from Pengi Math Chapter 10, students learn how to construct tree diagrams to organize and visualize the outcomes of multistep experiments and compound events. Using tree diagrams, they identify total and favorable outcomes to calculate the probability of specific compound events. The lesson also applies these skills to real-world scenarios such as clothing combinations and menu options.

Section 1

Creating Tree Diagrams for Compound Events

Property

A tree diagram systematically displays all possible outcomes of compound events by creating branches for each outcome of the first event, then extending branches for each outcome of subsequent events from every existing branch.

Examples

Section 2

Find Probability Using a Tree Diagram

Property

The probability of an event is the ratio of the number of favorable outcomes to the total number of outcomes. A tree diagram helps visualize all possible outcomes of a compound event.

P(event)=Number of favorable outcomesTotal number of outcomesP(\text{event}) = \frac{\text{Number of favorable outcomes}}{\text{Total number of outcomes}}

Examples

  • A coin is tossed twice. The tree diagram shows 4 possible outcomes: HH, HT, TH, TT. The probability of getting exactly one tail is 24\frac{2}{4} or 12\frac{1}{2}, as there are two favorable outcomes (HT, TH).
  • A number cube is rolled and a coin is tossed. The tree diagram shows 12 possible outcomes. The probability of rolling a number less than 3 and tossing heads is 212\frac{2}{12} or 16\frac{1}{6}, as there are two favorable outcomes (1H, 2H).

Explanation

A tree diagram is a tool used to map out the sample space of a compound event. Each unique path from the start to an endpoint of the diagram represents one possible outcome. To find the probability of a specific event, count the number of paths that meet the event''s criteria (favorable outcomes) and divide by the total number of paths (total outcomes).

Book overview

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Chapter 10: Probability Models and Compound Events

  1. Lesson 1

    Lesson 1: Introduction to Probability and Likelihood

  2. Lesson 2

    Lesson 2: Theoretical vs. Experimental Probability

  3. Lesson 3

    Lesson 3: Compound Events: Lists and Tables

  4. Lesson 4Current

    Lesson 4: Compound Events: Tree Diagrams

  5. Lesson 5

    Lesson 5: Designing Simulations

Lesson overview

Expand to review the lesson summary and core properties.

Expand

Section 1

Creating Tree Diagrams for Compound Events

Property

A tree diagram systematically displays all possible outcomes of compound events by creating branches for each outcome of the first event, then extending branches for each outcome of subsequent events from every existing branch.

Examples

Section 2

Find Probability Using a Tree Diagram

Property

The probability of an event is the ratio of the number of favorable outcomes to the total number of outcomes. A tree diagram helps visualize all possible outcomes of a compound event.

P(event)=Number of favorable outcomesTotal number of outcomesP(\text{event}) = \frac{\text{Number of favorable outcomes}}{\text{Total number of outcomes}}

Examples

  • A coin is tossed twice. The tree diagram shows 4 possible outcomes: HH, HT, TH, TT. The probability of getting exactly one tail is 24\frac{2}{4} or 12\frac{1}{2}, as there are two favorable outcomes (HT, TH).
  • A number cube is rolled and a coin is tossed. The tree diagram shows 12 possible outcomes. The probability of rolling a number less than 3 and tossing heads is 212\frac{2}{12} or 16\frac{1}{6}, as there are two favorable outcomes (1H, 2H).

Explanation

A tree diagram is a tool used to map out the sample space of a compound event. Each unique path from the start to an endpoint of the diagram represents one possible outcome. To find the probability of a specific event, count the number of paths that meet the event''s criteria (favorable outcomes) and divide by the total number of paths (total outcomes).

Book overview

Jump across lessons in the current chapter without opening the full course modal.

Continue this chapter

Chapter 10: Probability Models and Compound Events

  1. Lesson 1

    Lesson 1: Introduction to Probability and Likelihood

  2. Lesson 2

    Lesson 2: Theoretical vs. Experimental Probability

  3. Lesson 3

    Lesson 3: Compound Events: Lists and Tables

  4. Lesson 4Current

    Lesson 4: Compound Events: Tree Diagrams

  5. Lesson 5

    Lesson 5: Designing Simulations