Data and Graphs Unit and Pacing Guide

Grade Levels
6th - 7th, Homeschool
Standards
Formats Included
  • PDF
Pages
40 pages
$8.00
$8.00
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Description

This unit is packed with never before seen activities all in one place to cover all of your objectives over data, statistics and graphing!

Includes:
-Unit Pacing Guide (planned for 2 weeks with ability to stretch to three)
-Frayer Model Vocabulary (Frequency, Bar Graph, Circle Graph, Line Graph and 2 blank)
-Understanding Mean Interactive Activity
-Identifying Median and Mode Interactive Activity
-Measures of Central Tendency Practice
-Mean, Median, Mode and Range Flippable
-Graph Your Choice Interactive Activity
-Mean, Median, Mode and Range Quiz
-Bar Graph Interactive Activity
-Double Bar Graph Interactive Activity
-Line Graph Interactive Activity
-Circle Graph Interactive Activity
-Types of Graphs Flippable
-Types of Graphs Memory Game

Aligned to TEKS 6.2b, 6.10a, 6.10b, 6.10c, 6.10d, 6.12a, 7.1b, 7.11a, 7.10b, 7.12a and Common Core 6.SP.1, 6.SP.2, 6.SP.3, 6.SP.4, 6.SP.5a,b,c,d, 7.Sp.1, 7.SP.2, 7.SP.3 and 7.SP.4!

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Personal Copyright: The purchase of this product allows you to use these activities in your personal classroom for your students. You may continue to use them each year but you may not share the activities with other teachers unless additional licenses are purchased. Please contact me via email for additional licenses. District Licenses are also available.
Total Pages
40 pages
Answer Key
Included
Teaching Duration
2 Weeks
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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.
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.

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