This chapter introduces a select set of statistical methods used in patient ergonomics studies to summarize quantitative data and draw reasonable conclusions. A case study, which presents a quantitative experimental study conducted to evaluate the efficacy of a conversational system to collect family health history, illustrates techniques for summarizing data, computing margins of error, determining significant differences between conditions, and generalizing the findings from a sample to a patient population. Further, this chapter discusses the characteristics of quantitative data collected in patient ergonomics studies, followed by ways to analyze such data, including computing confidence intervals and effect sizes. Lastly, the chapter provides recommendations for the collection of data in simulated and real-world settings and data analysis and interpretation to generate compelling and meaningful insights.