This chapter introduces key measures of dispersion, which are crucial in understanding the spread or variability of a dataset. The primary measures discussed include variance, standard deviation, and range, each of which quantifies different aspects of data spread. Variance measures how far data points deviate from the mean, with the standard deviation providing a more interpretable version by representing dispersion in the same units as the data. The range captures the difference between the highest and lowest values. The chapter emphasises the importance of using these measures alongside central tendency statistics to avoid over-reliance on single metrics, which may lead to misleading conclusions. Real-world examples and a discussion on the dangers of relying solely on single statistics, illustrated with the Datasaurus dataset, highlight and discuss the need for a more comprehensive data analysis approach.