Summary: Exploratory methods for investigating the structure of a population, such as density estimation, often suggest the presence of modes. These modes can either be spurious artifacts of sampling fluctuation or else be actual features of the underlying distribution. This paper considers hypothesis testing procedures for determining significance of a mode. These procedures are modifications of a proposal of Silverman, which is based on kernel density estimation and bootstrap calculation of critical values.