Abstract
dc:description.abstract<p>The score a student earns on the PSAT is a predictor for what they earn on the SAT. Based on a student's PSAT score, we construct a Bayesian model to predict, with 95% certainty, what they will earn on their SAT. Furthermore, we explore differences in this prediction between two high schools in the same district; and ask whether the probability of improvement from the PSAT to the SAT is consistent between these two schools.</p>
Degree
thesis:*- Name thesis:degree_name
- MS
- Level thesis:degree_level
- Immediate Access
- Discipline thesis:degree_discipline
- Computational Mathematics
- Year dc:date.available
- 2019
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Brusco, Salvatore
- Contributors dc:contributor
-
- John Kern
- Frank D'Amico
- Stacey Levine
- James Swindal
Rights
- Language dc:language
- English
Identifiers
dc:identifier.*- Repository record dc:identifier
- https://dsc.duq.edu/etd/1800
- OAI identifier oai:identifier
- oai:dsc.duq.edu:etd-2815