homogeneity of variance

Homogeneity of variance means that the spread or variability of data points is similar across different groups or categories being studied. For example, if you're comparing test scores from different classrooms, homogeneity of variance implies that the variation in scores within each classroom is roughly the same. This assumption is important in statistical tests like ANOVA, ensuring that differences between groups are not due to unequal variability but reflect true differences. When variances are homogeneous, it helps provide more accurate and reliable conclusions from the analysis.