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St. Patrick's Day Math Activity Roll & Graph

Rated 4.87 out of 5, based on 16 reviews
4.9 (16 ratings)
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Herding Kats in Kindergarten
9.7k Followers
Grade Levels
K - 1st
Resource Type
Standards
Formats Included
  • PDF
Pages
8 pages
$1.50
$1.50
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Herding Kats in Kindergarten
9.7k Followers

What educators are saying

I was in search of something fun and educational for my students to enjoy on St. Patrick's Day. This was perfect for that! Thank you!

Description

Looking for a fun St. Patrick's Day math center? These lucky leprechauns make graphing fun! Your students will love rolling the cube and graphing the images and won't even realize they're learning about data analysis! Students will graph, compare and add in this fun St. Patrick's Day center!


Included:
Leprechaun Dice Template - simply print, cut and tape. Alternate versions are available if you'd prefer to use wooden cubes or a picture cube.
Graph: students graph each roll of the dice, getting practice with collecting data! Color & b&w options included.
Comparison Sheet: students answer questions about more than, less than and equal too. Color & b&w options included.
Addition Sheet: students use their graph to create addition sentences. Color & b&w options included.

This is a great independent math activity or a fun partner game. The data changes every time the game is played, so students have unlimited opportunities to practice data collection and analysis!

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Total Pages
8 pages
Answer Key
N/A
Teaching Duration
N/A
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Standards

to see state-specific standards (only available in the US).
Directly compare two objects with a measurable attribute in common, to see which object has “more of”/“less of” the attribute, and describe the difference. For example, directly compare the heights of two children and describe one child as taller/shorter.
Classify objects into given categories; count the numbers of objects in each category and sort the categories by count.
Organize, represent, and interpret data with up to three categories; ask and answer questions about the total number of data points, how many in each category, and how many more or less are in one category than in another.

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