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Big Ideas Math: Modeling Real Life (7th grade) Chapter 7 Study Guide
Big Ideas Math: Modeling Real Life (7th grade) Chapter 7 Study Guide
Big Ideas Math: Modeling Real Life (7th grade) Chapter 7 Study Guide
Big Ideas Math: Modeling Real Life (7th grade) Chapter 7 Study Guide
Big Ideas Math: Modeling Real Life (7th grade) Chapter 7 Study Guide
Big Ideas Math: Modeling Real Life (7th grade) Chapter 7 Study Guide
Big Ideas Math: Modeling Real Life (7th grade) Chapter 7 Study Guide
Big Ideas Math: Modeling Real Life (7th grade) Chapter 7 Study Guide
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Big Ideas Math: Modeling Real Life (7th grade) Chapter 7 Study Guide. This guide breaks down each section of the chapter with tips and practice problems. Answer key provided.

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Big Ideas Math: Modeling Real Life (7th grade) Chapter 7 Study Guide

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7th
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Standards
Pages
8
Answer Key
Included
Teaching Duration
1 hour

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These study guides break down each section of the chapter with tips and practice problems. Answer key provided.
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Description

Big Ideas Math: Modeling Real Life (7th grade) Chapter 7 Study Guide. This guide breaks down each section of the chapter with tips and practice problems. Answer key provided.

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Standards

to see state-specific standards (only available in the US).
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 1/2 indicates an event that is neither unlikely nor likely, and a probability near 1 indicates a likely event.
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.
Develop a probability model and use it to find probabilities of events. Compare probabilities from a model to observed frequencies; if the agreement is not good, explain possible sources of the discrepancy.
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