The article explores how first-year university students understand and use statistics and data visualization. The researchers found that while many students could calculate basic statistics, some struggled to choose the right ones to describe data clearly. Additionally, many students had difficulty creating meaningful charts to show differences between data groups. Students with better statistical skills tended to use comparison and variability reasoning for statistics and data-based reasoning for visualization. The study suggests that improvements in statistical teaching are needed at both university and secondary school levels to help students use statistics and data visualization effectively.