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Project Summary

Difficulty  8 
Time required Short (several days)
Prerequisites Basic knowledge of Microsoft Excel and statistics
Material Availability Readily Available
Cost Very Low (under $20)
Safety No issues.

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Sponsor

Sponsored by a generous grant from Motorola

Abstract

Here's a fun project that combines baseball and math. Major League baseball is played in ballparks that have their own individual quirks when it comes to the exact layout of the field. Fenway Park in Boston has the famous "Green Monster" in left field, Yankee Stadium in the Bronx is notorious for the "short porch" down the right field line, and Coors Field in Denver is at a much higher altitude than any other ballpark. How do these differences affect batting statistics? You'll need to do a little digging to pull the numbers together, but a nice thing about this project is that the experiments are already done, and the data is out there waiting for you.

Objective

The objective of this project is to determine how the dimensions of a baseball stadium affect batting statistics.

Introduction

Intro image

Even in modern baseball, not all stadiums are the same size. A player who hits .300 with 30 home runs in one stadium could be a .250 hitter with 15 home runs in another park. Which parks are good hitter's parks, and which are not?

Terms, Concepts and Questions to Start Background Research

Park effects, park dimensions, Coors Field

Bibliography

ESPN offers detailed statistics for all teams in Major League Baseball and is the best place to collect the data for this project:
http://sports.espn.go.com/mlb/statistics

Experimental Procedure

Calculate the average for every team's home and road batting statistics (as well as their opponent's) over the time that they've been playing in a particular park. Since the average road park is nearly the same as the league's average park, the difference between home and road performance is the home park's effect on offense.

Variations

Credits

Gabriel Desjardins


Last edit date: 2005-09-11 14:06:22


Career Focus

If you like this project, you might enjoy exploring careers in Pure Mathematics.

Statistician
Statisticians use the power of math and probability theory to answer questions that affect the lives of millions of people. They tell educators which teaching method works best, tell policy-makers what levels of pesticides are acceptable in fresh fruit, tell doctors which treatment works best, tell builders which type of paint is the most durable. They are employed in virtually every type of industry imaginable, from engineering, manufacturing, and medicine to animal science, food production, transportation, and education. Everybody needs a statistician!
 



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