We continued comprehensive exploration of essential concepts in data analysis, with a focus on three key areas: Sampling, Surveys, and Experiments. Matthew learned how to collect and analyze data using various sampling techniques, gaining insights into the principles behind selecting representative samples. In the survey segment, we delve into designing effective surveys, understanding biases, and interpreting survey results accurately. The experiments component introduces Matthew to experimental design, hypothesis testing, and the critical skills needed to draw meaningful conclusions from experimental data. This class equips student with the fundamental statistical knowledge to make informed decisions and draw meaningful insights from a wide range of data sources.