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Measures of Central Tendency and Variation Checklists

Rated 5 out of 5, based on 6 reviews
5.0 (6 ratings)
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Grade Levels
5th - 8th
Resource Type
Standards
Formats Included
  • PDF
Pages
10 pages
$3.50
$3.50
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  1. Math Checklist Bundle Growing Bundle This bundle includes 9 sets of middle school math checklist references. These products are bundled together for over 30% off the original cost. Please note that this is a GROWING BUNDLE. You will get any new math checklists (on the Middle School level). As new p
    Price $19.96Original Price $30.00Save $10.04

Description

Measures of Central Tendency and Variation Checklists

Included in this product:

6 different measures of central tendency and variation checklists (Mean, median, mode, range, IQR and MAD)

Measures of Central Tendency and Variation Cover sheet, Measures of Central Tendency Cover Sheet, Measures of Variation Cover Sheet

How to use this product:

Print out each page and cut on the dotted lines.

Laminate for durability.

Attach in the upper left hand corner with a binder.

Allow students to use as a reference. Perfect for meeting IEP accommodations and modifications or for a reference tool for all students.

Check out the preview for a more detailed look at each page

This product is part of the discounted Middle School Math Checklists Bundle

Check out my other checklists here HERE

Total Pages
10 pages
Answer Key
N/A
Teaching Duration
N/A
Last updated Aug 7th, 2017
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Standards

to see state-specific standards (only available in the US).
Recognize that a measure of center for a numerical data set summarizes all of its values with a single number, while a measure of variation describes how its values vary with a single number.
Display numerical data in plots on a number line, including dot plots, histograms, and box plots.
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 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.

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