When researchers compute the standard deviation of a sample to estimate the variability of a larger population, they divide the sum of squared differences by $N - 1$ rather than by $N$. Because a sample's standard deviation naturally tends to underestimate the true standard deviation of the population, applying this $N - 1$ correction provides a more accurate estimate.