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This study investigates how integrating collaborative statistical inquiry and real-world data into curriculum design can improve mathematics instruction. This lesson on descriptive statistics and data analysis which utilized publicly available deer mortality data was developed to engage students in authentic mathematical reasoning and decision-making. The findings highlight how meaningful, data-driven activities can deepen conceptual understanding, foster engagement, and enhance overall STEM learning outcomes. By incorporating real-world data and collaborative inquiry into curriculum design, educators can bridge the gap between abstract statistical theories and their practical applications, thereby fostering deeper learning and engagement.