Unit Plan 25 (Grade 7 Math): Probability—Chance in Context

7th graders explore probability as a measure from 0 to 1, connecting theoretical models to experimental results. They build sample spaces, run simulations, compare relative frequencies, and explain why long-run outcomes approach expected probabilities.

Unit Plan 25 (Grade 7 Math): Probability—Chance in Context

Focus: Define probability of simple events, estimate via relative frequency, and connect long-run relative frequency to theoretical models.

Grade Level: 7

Subject Area: Mathematics (Statistics & Probability • Chance & Data)

Total Unit Duration: 5 sessions (one week), 45–60 minutes per session


I. Introduction

Students build a working model of probability: a number from 0 to 1 that describes the likelihood of a chance event. They create sample spaces for simple situations (coins, dice, spinners, bags of tiles), compute theoretical probabilities when outcomes are equally likely, and run experiments/simulations to estimate relative frequencies. They compare experimental results to theory and explain why, over many trials, the relative frequency stabilizes near the theoretical probability.

Essential Questions

  • What does it mean to say an event has probability 0, 1/2, or 1?
  • How do I build a model (sample space) to find a theoretical probability?
  • How does long-run relative frequency connect to theoretical probability, and why do small samples vary more?

II. Objectives and Standards

Learning Objectives — Students will be able to…

  1. Describe probabilities on the 0–1 scale and classify events as impossible, unlikely, about equally likely, likely, or certain.
  2. Construct sample spaces for simple random processes and compute theoretical probabilities using P(event) = (number of favorable outcomes) / (number of equally likely outcomes).
  3. Conduct experiments/simulations, compute relative frequency, and explain variability across samples.
  4. Connect long-run experimental results to theory and predict counts for a given number of trials (expected ≈ n × p).
  5. Communicate conclusions clearly using fractions/decimals/percents, and explain why results are reasonable.

Standards Alignment — CCSS Grade 7

  • 7.SP.5: Understand probability as a number between 0 and 1 that expresses likelihood of a chance event; interpret probabilities of simple events.
  • 7.SP.6: Approximate probability of a chance event by collecting data on the chance process and observing its long-run relative frequency; use the probability to predict approximate relative frequencies for a given number of trials.
  • Mathematical Practices emphasized: MP.1 (make sense), MP.3 (justify), MP.4 (model), MP.5 (use tools), MP.6 (precision).

Success Criteria — Student Language

  • I can place an event on the 0–1 scale and explain why.
  • I can list a sample space and calculate P(event) correctly.
  • I can run an experiment, compute relative frequency, and compare it to theory.
  • I can explain why more trials make results more stable.
  • I can predict how many times an event will occur in n trials (about n × p) and check if my result is reasonable.