# Moneyball Paper

Anonymous

### Question Description

Minimum of 1500 words, written and annotated in proper MLA format following these instructions:

• Challenging conventional wisdom - Identify and discuss one standard statistic that had traditionally been used as a standard for success. Explain why people had always thought it was a good measure and then why the sabermetrics experts don’t consider it a good measure of a player’s abilities. You must include a discussion of the mathematics behind the statistic in your explanation of why the sabermetricians do not condone its validity.
• Innovation - Identify and discuss a new statistic created by the sabermetricians as a truer measure of a player’s abilities. Again, you must include a discussion of the mathematics behind the statistics.
• In Chapter 12, there is considerable discussion about the advisability of stealing bases. Conventional wisdom says that they are critical to success in the playoff games, but the Oakland A’s forbade stealing for their players. Discuss how it might seem obvious that stealing bases would net you more runs and why the Oakland A’s disagreed with that.
• Finally, discuss in general (not baseball-specific) why it is often important to question whether and when conventional wisdom should be reassessed and new ideas explored. If possible, think of an area related to your chosen career where perhaps innovation is warranted.

experttutor25
School: UT Austin

Summary of “Moneyball the art of winning an unfair game”
University
Name

Introduction
The message of this book is to show a new way of thinking to address an old problem and
provide measurable and verifiable statistics that provide new insight into the problem.
The idea for the story formed when the Oakland Athletics (the A's) baseball team were winning a
lot of baseball games, even though they were one of the poorest teams in baseball. In this paper,
we will discuss the conventional wisdom and traditional metrics in baseball and then we will
introduce new measures, sabermetrics which is a term applied to the non-traditional statistics that
opens a new door to predict and analyze baseball game. This idea could also be applied to other
domains. This does not necessarily mean we should reinvent the wheel but stopping the
traditional way of doing things and applying new technique can make a big difference.

Challenging conventional wisdom
Moneyball book is a journey to quest for the secret of success in baseball. Sabermetrics is a term
applied to the non-traditional statistics to measure the skill and value of baseball players. The A’s
general manager, Billy Beane, was becoming familiar with the sabermetrics.
Baseball players traditionally used batting average and RBI(Runs Batted In) measure to
determine how great a hitter is, on the other hands, in sabermetrics, OPS(On-base percentage
Plus Slugging percentage) is considered a better metric.
Paul DePodesta who was hired by Billy Beane tried to utilize all statistics related to data sets
from the 20th century to extract a formula that shows the winning percentage. He realize that onbase percentage and slugging percentage metrics are linked to baseball wins and other traditional
factors were not important or did not play a major role. In some...

flag Report DMCA
Review

Anonymous
Top quality work from this tutor! I’ll be back!

Anonymous
Heard about Studypool for a while and finally tried it. Glad I did caus this was really helpful.

Anonymous
Thank you! Reasonably priced given the quality

Studypool
4.7
Trustpilot
4.5
Sitejabber
4.4

Brown University

1271 Tutors

California Institute of Technology

2131 Tutors

Carnegie Mellon University

982 Tutors

Columbia University

1256 Tutors

Dartmouth University

2113 Tutors

Emory University

2279 Tutors

Harvard University

599 Tutors

Massachusetts Institute of Technology

2319 Tutors

New York University

1645 Tutors

Notre Dam University

1911 Tutors

Oklahoma University

2122 Tutors

Pennsylvania State University

932 Tutors

Princeton University

1211 Tutors

Stanford University

983 Tutors

University of California

1282 Tutors

Oxford University

123 Tutors

Yale University

2325 Tutors