Mean Median Mode Range Color by Number Worksheets Notes Smartboard BUNDLE

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$7.20
Bundle
List Price:
$12.25
Bundle Price:
$9.00
You Save:
$5.05
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Products in this Bundle (4)

    Description

    Save some MONEY on this WONDERFUL-Bundle of resources to teach Mean-Median-Mode-Range. You get a Color-by-Number Answer Worksheet, along with Notes and an additional worksheet, and a Smartboard Slides Lesson all on Mean Median Mode and Range. Great variety for Differentiation and Spiraling Concepts too! You'll enjoy using these year after year!

    Be sure to L@@K at my other, 750+ TERRIFIC teaching resources!

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    Total Pages
    20+
    Answer Key
    Included
    Teaching Duration
    N/A
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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.
    Relating the choice of measures of center and variability to the shape of the data distribution and the context in which the data were gathered.
    Giving quantitative measures of center (median and/or mean) and variability (interquartile range and/or mean absolute deviation), as well as describing any overall pattern and any striking deviations from the overall pattern with reference to the context in which the data were gathered.
    Describing the nature of the attribute under investigation, including how it was measured and its units of measurement.

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