Learn on PengienVision, Mathematics, Grade 7Chapter 7: Probability

Lesson 3: Understand Experimental Probability

In this Grade 7 lesson from enVision Mathematics, students learn to determine experimental probability by calculating relative frequency as the ratio of favorable outcomes to total trials. They compare experimental probability to theoretical probability, explore why the two may differ, and use proportional reasoning to make predictions based on experimental data. The lesson builds on prior knowledge of theoretical probability within Chapter 7's broader study of probability.

Section 1

Calculating Theoretical vs. Experimental Probability

Property

When the probability of an event is known, or can be determined through analysis where all outcomes are equally likely, the theoretical probability is:

Number of Outcomes in the EventNumber of Possible Outcomes \frac{\operatorname{Number\ of\ Outcomes\ in\ the\ Event}}{\operatorname{Number\ of\ Possible\ Outcomes}}
Experimental probability is based on observed data from experiments:
Number of Observed Occurrences of the EventTotal Number of Trials \frac{\operatorname{Number\ of\ Observed\ Occurrences\ of\ the\ Event}}{\operatorname{Total\ Number\ of\ Trials}}

Examples

  • The theoretical probability of rolling a 2 on a six-sided die is 16\frac{1}{6}. If you roll it 12 times and get a 2 three times, the experimental probability is 312\frac{3}{12} or 14\frac{1}{4}.
  • A bag has 4 red and 6 blue marbles. The theoretical probability of drawing red is 410=25\frac{4}{10} = \frac{2}{5}. After drawing and replacing 20 times, you draw red 9 times. The experimental probability is 920\frac{9}{20}.
  • A spinner has 4 equal sections. The theoretical probability of landing on 'A' is 14\frac{1}{4}. After 60 spins, it lands on 'A' 12 times. The experimental probability is 1260=15\frac{12}{60} = \frac{1}{5}.

Explanation

Theoretical probability is what should happen based on pure math, like a 12\frac{1}{2} chance of heads. Experimental probability is what actually happens when you run the experiment, like getting 47 heads in 100 flips.

Section 2

Application: Making Predictions with Probability Models

Property

To predict future outcomes using experimental probability:
Expected number of occurrences = P(event)×number of future trialsP(\text{event}) \times \text{number of future trials}, where P(event)P(\text{event}) is the experimental probability from past trials.

Examples

Book overview

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Chapter 7: Probability

  1. Lesson 1

    Lesson 1: Understand Likelihood and Probability

  2. Lesson 2

    Lesson 2: Understand Theoretical Probability

  3. Lesson 3Current

    Lesson 3: Understand Experimental Probability

  4. Lesson 4

    Lesson 4: Use Probability Models

  5. Lesson 5

    Lesson 5: Determine Outcomes of Compound Events

  6. Lesson 6

    Lesson 6: Find Probabilities of Compound Events

  7. Lesson 7

    Lesson 7: Simulate Compound Events

Lesson overview

Expand to review the lesson summary and core properties.

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Section 1

Calculating Theoretical vs. Experimental Probability

Property

When the probability of an event is known, or can be determined through analysis where all outcomes are equally likely, the theoretical probability is:

Number of Outcomes in the EventNumber of Possible Outcomes \frac{\operatorname{Number\ of\ Outcomes\ in\ the\ Event}}{\operatorname{Number\ of\ Possible\ Outcomes}}
Experimental probability is based on observed data from experiments:
Number of Observed Occurrences of the EventTotal Number of Trials \frac{\operatorname{Number\ of\ Observed\ Occurrences\ of\ the\ Event}}{\operatorname{Total\ Number\ of\ Trials}}

Examples

  • The theoretical probability of rolling a 2 on a six-sided die is 16\frac{1}{6}. If you roll it 12 times and get a 2 three times, the experimental probability is 312\frac{3}{12} or 14\frac{1}{4}.
  • A bag has 4 red and 6 blue marbles. The theoretical probability of drawing red is 410=25\frac{4}{10} = \frac{2}{5}. After drawing and replacing 20 times, you draw red 9 times. The experimental probability is 920\frac{9}{20}.
  • A spinner has 4 equal sections. The theoretical probability of landing on 'A' is 14\frac{1}{4}. After 60 spins, it lands on 'A' 12 times. The experimental probability is 1260=15\frac{12}{60} = \frac{1}{5}.

Explanation

Theoretical probability is what should happen based on pure math, like a 12\frac{1}{2} chance of heads. Experimental probability is what actually happens when you run the experiment, like getting 47 heads in 100 flips.

Section 2

Application: Making Predictions with Probability Models

Property

To predict future outcomes using experimental probability:
Expected number of occurrences = P(event)×number of future trialsP(\text{event}) \times \text{number of future trials}, where P(event)P(\text{event}) is the experimental probability from past trials.

Examples

Book overview

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

Continue this chapter

Chapter 7: Probability

  1. Lesson 1

    Lesson 1: Understand Likelihood and Probability

  2. Lesson 2

    Lesson 2: Understand Theoretical Probability

  3. Lesson 3Current

    Lesson 3: Understand Experimental Probability

  4. Lesson 4

    Lesson 4: Use Probability Models

  5. Lesson 5

    Lesson 5: Determine Outcomes of Compound Events

  6. Lesson 6

    Lesson 6: Find Probabilities of Compound Events

  7. Lesson 7

    Lesson 7: Simulate Compound Events