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Deciphering Data Board Game - 7th Grade Common Core Aligned

Grade Levels
6th - 7th
Subjects
Standards
Resource Type
Formats Included
  • PDF
  • Compatible with 
    Activities
Pages
16 pages
$2.38
List Price:
$2.50
You Save:
$0.12
$2.38
List Price:
$2.50
You Save:
$0.12
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Compatible with Easel Activities
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Description

This is a board game covering 7th grade common core standards involving data. The game cards include computation problems, conceptual problems, and problem solving. This is an excellent way to review. My students LOVE this game!
Total Pages
16 pages
Answer Key
Included
Teaching Duration
1 hour
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Standards

to see state-specific standards (only available in the US).
Use measures of center and measures of variability for numerical data from random samples to draw informal comparative inferences about two populations. For example, decide whether the words in a chapter of a seventh-grade science book are generally longer than the words in a chapter of a fourth-grade science book.
Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities, measuring the difference between the centers by expressing it as a multiple of a measure of variability. For example, the mean height of players on the basketball team is 10 cm greater than the mean height of players on the soccer team, about twice the variability (mean absolute deviation) on either team; on a dot plot, the separation between the two distributions of heights is noticeable.
Use data from a random sample to draw inferences about a population with an unknown characteristic of interest. Generate multiple samples (or simulated samples) of the same size to gauge the variation in estimates or predictions. For example, estimate the mean word length in a book by randomly sampling words from the book; predict the winner of a school election based on randomly sampled survey data. Gauge how far off the estimate or prediction might be.
Understand that statistics can be used to gain information about a population by examining a sample of the population; generalizations about a population from a sample are valid only if the sample is representative of that population. Understand that random sampling tends to produce representative samples and support valid inferences.

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