Quantitative data analysis involves examining, classifying, calculating, and graphing numerical data. It has several steps: 1. Coding data numerically and organizing it into tables for analysis. 2. Using descriptive statistics like frequency, mean, median, mode, and standard deviation to summarize a data set. 3. For more advanced analysis, graduate students may use inferential statistics like correlation, analysis of variance (ANOVA), and regression to analyze relationships between variables and determine if differences are statistically significant. These more complex techniques require statistical software.