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

· Computer science (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