STAT 5390

Exploratory Data Analysis

Course Description

Prerequisites

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.

Instructors

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