I will present a statistical analysis of metagenomic data that provides evidence to support the hypothesis that differing environments are distinguishable based on their metagenome. A metagenome can be thought of as the genome of an environment, and metagenomics is a rapidly growing area of biology. This talk will include an introduction to metagenomic data, and what part of the metagenomic data can be statistically analyzed. Furthermore, the talk will discuss a multivariate statistical technique called canonical discriminant analysis, along with the results of a canonical discriminant analysis performed on over 200 metagenomes. This talk is accessible to anyone with a minimal background in mathematics and biology.