A social scientist wants to study effects of the number of media outlets and universities and the literacy rate on the college admissions of the population. For 10 cities around the world, the scientist determines the number of newspaper copies, radios, and television sets per 1,000 people. The scientist also records the literacy rate and whether a university is in each city. The scientist wants to reduce the total number of variables by combining variables with similar characteristics.
The distance and similarity results indicate that 3 clusters are reasonably sufficient for the final partition. If the social scientists thinks this grouping makes intuitive sense, then it is probably a good choice. The dendrogram displays the information in the table in the form of a tree diagram.
The social scientist should rerun the analysis and specify 3 clusters in the final partition. When you specify a final partition, Minitab displays additional tables that describe the characteristics of each cluster included in the final partition.
Step | Number of clusters | Similarity level | Distance level | Clusters joined | New cluster | Number of obs. in new cluster | |
---|---|---|---|---|---|---|---|
1 | 4 | 93.9666 | 0.120669 | 2 | 3 | 2 | 2 |
2 | 3 | 93.1548 | 0.136904 | 4 | 5 | 4 | 2 |
3 | 2 | 87.3150 | 0.253700 | 1 | 4 | 1 | 3 |
4 | 1 | 79.8113 | 0.403775 | 1 | 2 | 1 | 5 |