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Sports Statistics & Probability curriculum workbook (130+ pages) - Project-based

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MedeirosMath
2 Followers
Grade Levels
8th - 12th
Standards
Formats Included
  • PDF
Pages
127 pages
$130.00
$130.00
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MedeirosMath
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Description

WATCH THE PREVIEW CLIP! E-MAIL ME FOR DISCOUNTS OR QUESTIONS AT MEDEIROSVINNY@YAHOO.COM.

Looking to start an elective math class?

Interested in project-based assessments?

Tired of teaching statistics with no real-world application?

This 132-page interactive workbook serves as a textbook for an introductory statistics math class; complete with Common Core standards crosswalk, embedded answers, and tons of activities and mini-projects. This workbook is the only resource I use for my 'Statistical Reasoning and Statistics in Sports' class, with 12 sections of statistical concepts intertwined with the world of sports. The pages are loaded with gifs, data, and relevant information...updated as of June 2024.

This is a completely customized workbook/textbook for teachers looking for a more engaging and student-based approach to teaching statistical concepts through the realm of sports...including team sports, individual sports, video games, WWE and much more. There are 12 sections, each one containing relevant activities, traditional assessments, and mini-projects. The workbook is sold as PDFs (with answers attached in the back) but you will receive the PowerPoint with it, which includes embedded answers and interactive gifs. Basically, everything you need is provided including rubrics and exemplars for all projects. There are over 25 assessments, mixing traditional question-answer responses with mini-projects where students have a role in choosing how to show their level of understanding.

The 12 sections to the workbook were hand-picked for their application and relevance to the world of sports:

  • Visual Data - Creating and analyzing the different charts and graphs that we encounter on a daily basis; digging into the story behind the numbers
  • Research - Finding and presenting relevant data to defend an opinion or choice; deciphering bad data from good data
  • Central Tendency - Calculating and analyzing the mean, median, mode, and range; creating and interpreting box-and-whisker plots and bell curves
  • Z-scores - Comparing player statistics across different eras and sports
  • Scatterplots - Determining correlation strength between two variables; using technology to find correlation coefficients and line of regression
  • Probability - Reading tree diagrams and frequency tables to determine the likelihood of events happening; calculating compound probability in order to make decisions and determine likely outcomes
  • Analytics - Discussing the analytic and sabermetric overhaul of how the game is played and coached; calculating and applying Pythagorean Expectation to determine both current and historic team winning potential
  • Simulations - Creating and exploring simulation dot plots to determine realistic outcomes; analyzing computer-generated simulations to problem solve and highlight abnormalities
  • Combinations/Permutations - Exploring possible outcome groupings through appropriate formula usage and calculations
  • Franchise Creation - Building an entire NBA franchise from the ground up; embedding curriculum into a large-scale project
  • Sports Management & Marketing - Applying research and school-based skills to real-world situations; transforming data into career success
  • Running an Experiment - Developing and coordinating all aspects of a self-directed study; forming conclusions based on data collection and analysis

INCLUDED PROJECTS:

Creating and marketing a new Jordan shoe

Highest selling video games of all-time graph

Custom infographic

Custom scatterplot with correlation coefficient and line of regression

GOAT debate

Team relocation and rebranding with demographics

All-time team box-and-whisker plot

Player statistics bell curve

High school conference realignment through z-scores

UConn Men's and Women's tree diagram comparison

NFL Draft order with Pythagorean Expectation

Favorite team with Pythagorean Expectation

NFL Fantasy quarterback with simulations

NBA Draft order with combinations/permutations

Using statistics to negotiate player contracts

Rebranding your high school athletic program

Operating the finances of an outdoor stadium (interactive Google Sheet)

Using fan feedback to address (and remedy) issues within MLS and MLB

Creating a sports-related business

Running an experiment with class as test subjects or researching online

NBA Franchise Project - Students use all of the topics covered in the workbook to create a new NBA franchise from scratch. Students choose the players, name the team, develop logos and uniforms, then create visual displays of data based on their decisions.

*Fantasy football and basketball leagues (optional)

If you purchase this item, be sure to send me an e-mail and I can send you extra resources and alternate versions of the workbook for FREE. The slide formatting can sometimes be a little off depending on what version of PowerPoint you open the files with, simply contact me for an easy fix.

Total Pages
127 pages
Answer Key
Included
Teaching Duration
1 Year
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Standards

to see state-specific standards (only available in the US).
Represent data with plots on the real number line (dot plots, histograms, and box plots).
Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets.
Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).
Use the mean and standard deviation of a data set to fit it to a normal distribution and to estimate population percentages. Recognize that there are data sets for which such a procedure is not appropriate. Use calculators, spreadsheets, and tables to estimate areas under the normal curve.
Summarize categorical data for two categories in two-way frequency tables. Interpret relative frequencies in the context of the data (including joint, marginal, and conditional relative frequencies). Recognize possible associations and trends in the data.

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