Question: A climatologist is analyzing temperature data and selects 10 cities at random. She wants to group them into 3 clusters: one cluster of 4 cities, one cluster of 3 cities, and one cluster of 3 cities. How many distinct ways can the cities be grouped?

Mon, 04 May 2026 12:31:35 +0000

**How Many Distinct Ways Can a Climatologist Group 10 Cities into Clusters of 4, 3, and 3 Cities?** In today’s data-driven world, understanding how scientists organize and interpret complex environmental patterns has become increasingly relevant. With rising global attention on urban climate resilience, the task of grouping cities into meaningful clusters reveals both mathematical precision and real-world application. A common challenge arises when analyzing temperature data: selecting 10 randomly chosen cities and clustering them into one group of four, and two groups of three each—how many distinct groupings are possible? This question sits at the intersection of statistics, decision-making, and data science—key interests for researchers, policymakers, and environmentally-conscious citizens. ### Why Clustering Cities by Temperature Data Matters Climate scientists often analyze temperature trends across urban zones to identify patterns, compare regional variability, and model future climate scenarios. By grouping cities, researchers can group similar locations based on shared climate characteristics, supporting targeted studies on heat islands, flooding risks, or energy demand. When a climatologist selects 10 cities—chosen randomly for broad geographic or statistical representativeness—the way these cities are grouped influences downstream analysis. Understanding the number of distinct cluster arrangements offers insight into the combinatorial complexity behind such research.