Section 2.1 Objectives
By the end of this section, an engaged learner will be able to:
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understand the impact of student demographics, type of institution, and time on student loan debt.
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perform exploratory data analysis on a numerical variable (college tuition, student loan debt) as a function of a numerical (year) or categorical (institution type, student demographics) variable.
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create line charts of student loan data over time.
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create scatterplots of student loan debt versus college graduation rates.
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create bar charts of the average student loan debt owed by various demographic groups.
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compute summary statistics to describe each of the above.
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use linear regression and correlation to judge trends in numerical data on tuition and student loan debt as a function of time and predict future outcomes.
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use a chi-squared test for independence to analyze the impact of student demographics (race, gender, and others) on student loan debt load.
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understand how data analysis can contribute to understanding the impact of student loan debt and government policy on student loans.
