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Analyzing and Interpreting Data Math Pennant Activity

Rated 4.89 out of 5, based on 62 reviews
4.9 (62 ratings)
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Scaffolded Math and Science
30.3k Followers
Grade Levels
5th - 8th
Standards
Formats Included
  • PDF
Pages
17 pages
$3.00
$3.00
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Scaffolded Math and Science
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  1. This big bundle of math pennants includes every math pennant (100+) for elementary, middle and high school math. Students of all ages love seeing their math displayed! It builds confidence and is a reminder on those tougher days that we are all math people. Don't need every math pennant? I also have
    Price $75.00Original Price $394.50Save $319.50

Description

Students analyze different depictions of data to find mean, median, mode, range, totals and percentages. Data is presented in the following forms: table, line plot, line graph, bar graph, histogram, box and whiskers plot, pie chart and sets of numbers. A line drawing of a mathematician is on each pennant for students to color.

**If you would like a metric version, please see Data Pennant {METRIC VERSION}.

Please see the preview for sample pages to download, print and try out!

Once a pennant is complete, it can be hung along a string in your classroom to show the world that, "Hey, we know how to read data!"

Included are 30 pennants with data problems, an optional student answer sheet and an answer key. Each group of students can be given a set of pennants, crayons, scissors and either glue, tape or a stapler. Students can be in charge of cutting out the pennants. Groups can compete to see which group can complete the most pennants or your entire class can add pennants to one string as they complete each one.

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Total Pages
17 pages
Answer Key
Included
Teaching Duration
N/A
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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.
Summarize numerical data sets in relation to their context, such as by:
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.

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