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

Lesson 1: Introduction to Probability and Likelihood

In this Grade 7 Pengi Math lesson from Chapter 10, students learn to understand probability as a number between 0 and 1, ranging from impossible to certain. The lesson introduces key vocabulary including experiment, outcome, sample space, and event, while students practice distinguishing between equally likely and unequally likely outcomes. Fairness in probability contexts is also explored as part of this foundational introduction to probability models.

Section 1

Classifying Likelihood

Property

Understand that the probability of a chance event is a number between 0 and 1 that expresses the likelihood of the event occurring. Larger numbers indicate greater likelihood. A probability near 0 indicates an unlikely event, a probability around 12\frac{1}{2} indicates an event that is neither unlikely nor likely, and a probability near 1 indicates a likely event. If AA is any event and SS is the sample space, then 0P(A)10 \leq P(A) \leq 1.

Examples

  • The probability of a standard six-sided die landing on the number 9 is 0. This is an impossible event.
  • The probability that an object dropped will fall down is 1. This is a certain event.
  • When drawing a card from a standard 52-card deck, the probability of drawing a black card is 2652=12\frac{26}{52} = \frac{1}{2}, an event that is equally likely as not.

Explanation

Probability is measured on a scale from 0 to 1. A probability of 0 means an event is impossible. A probability of 1 means it's certain. A probability of 12\frac{1}{2} means it's equally likely to happen or not happen.

Section 2

Understanding Equally Likely Outcomes and Fairness

Property

Outcomes are equally likely when each outcome has the same chance of occurring. The basic probability formula P(event)=number of favorable outcomestotal number of possible outcomesP(\text{event}) = \frac{\text{number of favorable outcomes}}{\text{total number of possible outcomes}} only applies when all outcomes are equally likely.

Examples

Section 3

Fairness: When Outcomes Are Not Equally Likely

Property

Not all outcomes are equally likely just because they exist. Equal probability requires either experimental evidence or knowledge that outcomes have the same chance of occurring. When outcomes are not equally likely, theoretical probability cannot be calculated as P(event)=number of favorable outcomestotal number of outcomesP(\text{event}) = \frac{\text{number of favorable outcomes}}{\text{total number of outcomes}}.

Examples

Book overview

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Chapter 10: Probability Models and Compound Events

  1. Lesson 1Current

    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 4

    Lesson 4: Compound Events: Tree Diagrams

  5. Lesson 5

    Lesson 5: Designing Simulations

Lesson overview

Expand to review the lesson summary and core properties.

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Section 1

Classifying Likelihood

Property

Understand that the probability of a chance event is a number between 0 and 1 that expresses the likelihood of the event occurring. Larger numbers indicate greater likelihood. A probability near 0 indicates an unlikely event, a probability around 12\frac{1}{2} indicates an event that is neither unlikely nor likely, and a probability near 1 indicates a likely event. If AA is any event and SS is the sample space, then 0P(A)10 \leq P(A) \leq 1.

Examples

  • The probability of a standard six-sided die landing on the number 9 is 0. This is an impossible event.
  • The probability that an object dropped will fall down is 1. This is a certain event.
  • When drawing a card from a standard 52-card deck, the probability of drawing a black card is 2652=12\frac{26}{52} = \frac{1}{2}, an event that is equally likely as not.

Explanation

Probability is measured on a scale from 0 to 1. A probability of 0 means an event is impossible. A probability of 1 means it's certain. A probability of 12\frac{1}{2} means it's equally likely to happen or not happen.

Section 2

Understanding Equally Likely Outcomes and Fairness

Property

Outcomes are equally likely when each outcome has the same chance of occurring. The basic probability formula P(event)=number of favorable outcomestotal number of possible outcomesP(\text{event}) = \frac{\text{number of favorable outcomes}}{\text{total number of possible outcomes}} only applies when all outcomes are equally likely.

Examples

Section 3

Fairness: When Outcomes Are Not Equally Likely

Property

Not all outcomes are equally likely just because they exist. Equal probability requires either experimental evidence or knowledge that outcomes have the same chance of occurring. When outcomes are not equally likely, theoretical probability cannot be calculated as P(event)=number of favorable outcomestotal number of outcomesP(\text{event}) = \frac{\text{number of favorable outcomes}}{\text{total number of outcomes}}.

Examples

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 1Current

    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 4

    Lesson 4: Compound Events: Tree Diagrams

  5. Lesson 5

    Lesson 5: Designing Simulations