5 pages
Based on statistics
Hw:
the paper will focus on collecting data around SUNY (choose time from 2017 to 2018) Following topics that we will focus on:
· Graduation rates
· Gender and Race (like income disparity)
· Majors – correlating factors
· (choose this major in essay)
· Compare overall data of all majors among the 3 schools then compare with national data and individual school’s data by major
· What to compare:
2. Graduation rates
2. Gender and Race
2. Include graph
2. Include correlating factors
2. Proof the hypothesis
(use this three school data 2017-2018) Universities of focus:
· University at Albany
· Binghamton University
1. Stonybrook University
Example
Introduction:
Data analysis:(for example: statistics-ANOVA way, Chi-Squared Test way)
Consideration: Demographics should be considered when we are looking at schools
· Graduation rates to a certain degree in certain programs -correlating factors, consider disparity from school to school when looking at graduation rates
· Hypothesis:
· Gender and Race- income disparity
· Hypothesis:
· Majors – computer science correlating factors of what degrees are showing more income
· Hypothesis: Graduates from the University of Albany that study ______ (TBD) make more than graduates from a different SUNY school (Tbd) that have the same degree
Compare college:
· Three school vs. SUNY
· I.e. first compare the differences in graduate salaries based on campus and then compare the two colleges
· College: University
· Data source: SUNY wages dashboard
· Tests:
· 1.Correlation analysis to determine the relationship between wages and education level (masters degree) of graduates for the past 5 years
· 2. Compare the differences of means for wages among 3 universities – use hypothesis testing here for differences of mea
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