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Gridiron Glory -- "Big Game" Data & Paper Football - 21st Century Math Project

Rated 5 out of 5, based on 39 reviews
5.0 (39 ratings)
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Clark Creative Math
17.4k Followers
Grade Levels
6th - 12th, Homeschool
Resource Type
Standards
Formats Included
  • Zip
  • Google Apps™
Pages
21 pages
$6.00
$6.00
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Clark Creative Math
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Includes Google Apps™
The Teacher-Author indicated this resource includes assets from Google Workspace (e.g. docs, slides, etc.).
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Description

I have heard that Americans like Football. I have also heard about an important game that happens in February. I have heard that it's a day that nachos dread.

In this 21st Century Math Project, students will complete a variety Football-based assignments related to the Statistics strands of the Common Core. The project caps off with a Paper Football tournament that asks students to use expected value to guide their decisions!

This product includes 3 prep assignments that reaches a variety of learning levels. Some will work better in middle school, others strictly high school. Download the preview to judge for yourself. ***THIS PRODUCT HAS BEEN UPDATED WITH A GOOGLE SLIDES INTERACTIVE VERSION INCLUDED. REDOWNLOAD IF YOU HAVE IT ALREADY***

Included in this file are:

-- “Bragging Rights”. This assignment is designed more toward middle school students, but can be used for high school review. Students will analyze Super Bowl data to determine which divisions have historically had the most success. They will compute Winning Percentage and construct a bar graph and a pie graph.

-- “Super Sunday LX”. This assignment is geared more toward students with algebra skills. Students will use historical television data to create lines of best to predict the future. This assignment would work best on TI graphing calculators. This also shows the limits of linear models because the Commercial Cost linear model has serious limitation.

-- “Super Sunday Predictions”. This is an advanced statistics assignment that will require calculations of Mean, Standard Deviation, Variance and beginning level usage of a T-Test. Students will analyze Points For and Points Against of Super Bowl Winners and Losers to see if there is a significant difference between the means (this is what the T-Test is for). If there is a significant difference, then that could be used to predict the winner of the next Super Bowl. Find out!

-- “Training Camp”. This is a preliminary assignment to the grand finale a Paper Football Championship Tournament! Students will measure their Paper Football skills with a variety of tasks. With the results of the assignment, students will need to calculate their expected value. At the end they will use these four expected values to calculate their “Paper Football Rating”.

-- "Paper Football Championship Tournament". Each game should have two students playing the roles of referee and statisticians. These students should receive the “Drive Log” and mark attempts for further statistical analysis and keep score. The essential question with the Paper Football Championship is "does the Expected Value “Paper Football Ratings” predict who the winner of the tournament will be?"

In this 21 page document you will be given a mapping to the Content Standards, an outline for how to implement the project, 4 prep assignments and the final project. Download the preview to see it all.

You may be interested in the following discounted bundles. SAVE $$$!

Correlations & Advanced Stats

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Need an Entire Curriculum?

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Total Pages
21 pages
Answer Key
Included
Teaching Duration
1 Week
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Standards

to see state-specific standards (only available in the US).
Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).
Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.
Compute (using technology) and interpret the correlation coefficient of a linear fit.
Decide if a specified model is consistent with results from a given data-generating process, e.g., using simulation. For example, a model says a spinning coin falls heads up with probability 0.5. Would a result of 5 tails in a row cause you to question the model?
Calculate the expected value of a random variable; interpret it as the mean of the probability distribution.

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