Still using a 2-sample t-test to compare multiple groups? 🛑 Stop right there! As breaking down data in image_2.png shows, t-tests only work when comparing two population means. If you have three or more independent groups, you need a major upgrade: One-Way ANOVA (Analysis of Variance). ANOVA checks for statistically significant differences between multiple means simultaneously without destroying your error rates. Just remember the core requirements highlighted in the image: you need one continuous response and one categorical factor with two or more levels. Master this statistical superpower today! Which data test do you use most? Drop a comment below! 👇 #DataScience #Statistics #STEMTok #TechTok #MachineLearning