Learn on PengiReveal Math, AcceleratedUnit 10: Probability

Lesson 10-1: Understand Probability

In this Grade 7 Reveal Math, Accelerated lesson, students learn to define probability as a ratio of favorable outcomes to total possible outcomes, with values ranging from 0 (impossible) to 1 (certain). Using real-world contexts like weather forecasts and a ten-sided die, students practice expressing probability as a fraction, decimal, or percent and classifying events as unlikely, neither unlikely nor likely, or likely. The lesson builds foundational understanding of probability language and calculation that supports further study of chance and data analysis in Unit 10.

Section 1

Calculating Probability for Equally Likely Outcomes

Property

When all possible outcomes have the same chance of occurring, the theoretical probability of an event is defined as:

P(event)=number of favorable outcomestotal number of possible outcomesP(\text{event}) = \frac{\text{number of favorable outcomes}}{\text{total number of possible outcomes}}

Examples

  • Rolling a die: On a standard 6-sided die, the probability of rolling an even number (2, 4, or 6) is P(even)=36=12P(\text{even}) = \frac{3}{6} = \frac{1}{2}.
  • Spinning a spinner: For a spinner divided into 8 equal sections where 3 are red and 5 are blue, the probability of landing on red is P(red)=38P(\text{red}) = \frac{3}{8}.
  • Random selection: If a bag contains 4 green marbles and 6 yellow marbles, the probability of drawing a green marble is P(green)=410=25P(\text{green}) = \frac{4}{10} = \frac{2}{5} or 40%40\%.

Explanation

When every possible outcome in a scenario has the exact same chance of occurring, they are known as equally likely outcomes. To calculate the probability of a specific event, you simply count the number of outcomes that match your event (the favorable outcomes) and divide it by the total number of possible outcomes. This mathematical ratio can then be written as a fraction, a decimal, or a percentage to represent the likelihood of the event happening.

Section 2

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.

Book overview

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

Continue this chapter

Unit 10: Probability

  1. Lesson 1Current

    Lesson 10-1: Understand Probability

  2. Lesson 2

    Lesson 10-2: Experimental Probability of Simple Events

  3. Lesson 3

    Lesson 10-3: Theoretical Probability of Simple Events

  4. Lesson 4

    Lesson 10-4: Compare Probabilities of Simple Events

  5. Lesson 5

    Lesson 10-5: Probability of Compound Events

  6. Lesson 6

    Lesson 10-6: Simulate Chance Events

Lesson overview

Expand to review the lesson summary and core properties.

Expand

Section 1

Calculating Probability for Equally Likely Outcomes

Property

When all possible outcomes have the same chance of occurring, the theoretical probability of an event is defined as:

P(event)=number of favorable outcomestotal number of possible outcomesP(\text{event}) = \frac{\text{number of favorable outcomes}}{\text{total number of possible outcomes}}

Examples

  • Rolling a die: On a standard 6-sided die, the probability of rolling an even number (2, 4, or 6) is P(even)=36=12P(\text{even}) = \frac{3}{6} = \frac{1}{2}.
  • Spinning a spinner: For a spinner divided into 8 equal sections where 3 are red and 5 are blue, the probability of landing on red is P(red)=38P(\text{red}) = \frac{3}{8}.
  • Random selection: If a bag contains 4 green marbles and 6 yellow marbles, the probability of drawing a green marble is P(green)=410=25P(\text{green}) = \frac{4}{10} = \frac{2}{5} or 40%40\%.

Explanation

When every possible outcome in a scenario has the exact same chance of occurring, they are known as equally likely outcomes. To calculate the probability of a specific event, you simply count the number of outcomes that match your event (the favorable outcomes) and divide it by the total number of possible outcomes. This mathematical ratio can then be written as a fraction, a decimal, or a percentage to represent the likelihood of the event happening.

Section 2

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.

Book overview

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

Continue this chapter

Unit 10: Probability

  1. Lesson 1Current

    Lesson 10-1: Understand Probability

  2. Lesson 2

    Lesson 10-2: Experimental Probability of Simple Events

  3. Lesson 3

    Lesson 10-3: Theoretical Probability of Simple Events

  4. Lesson 4

    Lesson 10-4: Compare Probabilities of Simple Events

  5. Lesson 5

    Lesson 10-5: Probability of Compound Events

  6. Lesson 6

    Lesson 10-6: Simulate Chance Events