Approximate the probability of a chance event by collecting data
Teacher tools for this standard
Lesson Plan · Guided Notes · Exit Ticket · Re-teach · Homework
Teacher tools for this standard
Lesson Plan · Guided Notes · Exit Ticket · Re-teach · Homework
- Lesson Plan →Objectives, pacing and practice, built from this lesson's brief.
- Guided Notes →One page your students fill in and keep.
- Exit Ticket →Three items at the end of class. No student accounts.
- Re-teach →After an exit ticket: who missed what, and what to do tomorrow.
- Homework →Assign practice; it grades itself.
7.SP.C.6 -- Approximate the probability of a chance event by collecting data on the chance process that produces it and observing its long-run relative frequency, and predict the approximate relative frequency given the probability. For example, when rolling a number cube 600 times, predict that a 3 or 6 would be rolled roughly 200 times, but probably not exactly 200 times.
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7.SP.C.6 -- Approximate the probability of a chance event by collecting data on the chance process that produces it and observing its long-run relative frequency, and predict the approximate relative frequency given the probability. For example, when rolling a number cube 600 times, predict that a 3 or 6 would be rolled roughly 200 times, but probably not exactly 200 times.
What you'll learn
- Define experimental probability as the relative frequency of an event observed in actual trials
- Compute experimental probability from collected data: P(event) = (number of times event occurred)/(total number of trials)
- Explain what "long-run relative frequency" means and why more trials produce more reliable estimates
- Predict approximate relative frequencies given a theoretical probability
- Compare experimental results to theoretical probabilities and explain sources of discrepancy
- Understand that experimental probability approaches theoretical probability as the number of trials increases
Slides
Step through the lesson, or watch it as a narrated video
Experimental probability
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