Should Normality be Judged By Eye or By Algorithm?

We empirically tested statistical textbooks' advice on assessing normality of distributions. Participants (n=42) were randomly assigned to judge either histograms or q-q plots before, during, and after feedback training. Judgments were more accurate for q-q plots than histograms, but both were inferior to an algorithm: the Shapiro-Wilk test.