STA 112 Exploratory Data Analysis

Description

This resource provides an introduction to exploratory data analysis (EDA), outlining its importance as a foundational step in statistical inquiry. It covers various techniques, distinguishing between non-graphical and graphical methods for both univariate and multivariate data. Key concepts discussed include measures of central tendency (mean, median, mode), spread (variance, standard deviation, interquartile range), skewness, and kurtosis. The document also explores graphical tools such as histograms, stem-and-leaf plots, boxplots, and quantile-normal plots, alongside multivariate techniques like cross-tabulation and correlation. This note is designed to equip students with the essential skills for preliminary data investigation and visualization in statistics and related quantitative fields.