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Probability Spring Easter Math Digital Activity and Worksheet

Rated 5 out of 5, based on 2 reviews
5.0 (2 ratings)
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mrscasiasmath
2.5k Followers
Grade Levels
6th - 7th
Resource Type
Standards
Formats Included
  • Google Drive™ folder
Pages
3 pages
$3.00
$3.00
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mrscasiasmath
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Made for Google Drive™
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Description

Students love the instant feedback and suspense of this Probability Easter Egg Hunt Math google sheets activity and worksheet! Students are given 10 simple events and compound events to find the probability and complements of. This engaging spring math activity includes a digital self-checking version and printable worksheet to be fit your students' needs!

DIGITAL + PRINTABLE VERSIONS

There is a google sheets version and a worksheet version with the same questions included. You can give all of your students the same version, give them a choice, or have them show their work for the digital activity on the printable worksheet!

This product includes

     ● Google Sheets Version - Easter Egg Hunt Activity

     ● Google Sheets Answer Key

     ● Printable PDF with Worksheet Version and Answer Key

On the google sheets version, students answer the question in the answer box and it will show an Easter egg if correct and red if incorrect. After the students answer all 10 questions correctly, an Easter Egg Hunt appears for students to complete! Students love the suspense and satisfaction in seeing the monster munch as they work! See the preview for a short video of how the google sheets version works.

I hope that by providing multiple options, you are able to best fit the needs of your students!

This activity aligns well with 7th Grade Math TEKS 7.6H and 7.6I.

Related & Similar Resources: 

     ★ Quadratic Graphs to Vertex Form Mystery Picture

     ★ 8th Math Pre-Algebra Guided Notes Bundle

     ★ 8th Grade Math Digital Activities Bundle

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Total Pages
3 pages
Answer Key
Included
Teaching Duration
N/A
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Standards

to see state-specific standards (only available in the US).
Approximate the probability of a chance event by collecting data on the chance process that produces it and observing its long-run relative frequency, and predict the approximate relative frequency given the probability. For example, when rolling a number cube 600 times, predict that a 3 or 6 would be rolled roughly 200 times, but probably not exactly 200 times.

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