Defense Date
5-22-2019
Graduation Date
Summer 8-10-2019
Availability
Immediate Access
Submission Type
thesis
Degree Name
MS
Department
Computational Mathematics
School
McAnulty College and Graduate School of Liberal Arts
Committee Chair
John Kern
Committee Member
Frank D'Amico
Committee Member
Stacey Levine
Committee Member
James Swindal
Abstract
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.
Language
English
Recommended Citation
Brusco, S. (2019). Score Improvement Comparison from PSAT to SAT Between two Schools (Master's thesis, Duquesne University). Retrieved from https://dsc.duq.edu/etd/1800