STAT 5390
Exploratory Data Analysis
Course Description
Pre-Requisite(s):
A previous statistics course; previous exposure to calculus and linear algebra recommended
Introduces philosophy and methods of exploratory (vs confirmatory) data analysis: QQ plots; letter values; re-expression; median polish; robust regression/anova; smoothers; fitting discrete, skewed, long-tailed distributions; diagnostic plots; standardization. Emphasis on real data, computation (R), reports, presentations.
