Sample variance measures the dispersion of a set of data points in a sample around the sample mean. It quantifies how much individual observations in a sample differ from the sample mean, helping to assess the variability within that sample. This concept is essential for comparing means, testing differences between populations, and understanding the spread of data when working with limited observations.