Mari BerryBrian PeacockBobbie FooteLawrence Leemis2016-01-142016-03-302016-01-142016-03-301988-10-01Berry, M., Peacock, B., Foote, B., & Leemis, L. (1988). Visual Assessment vs. Statistical Goodness of Fit Tests for Identifying Parent Population. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 32(7), 460-464. doi: 10.1177/154193128803200701http://hdl.handle.net/11244/25470Statistical tests are used to identify the parent distribution corresponding to a data set. A human observer looking at a histogram can also identify a probability distribution that models the parent distribution. The accuracy of a human observer was compared to the chi-square test for discrete data and the Kolmogorov-Smirnov and chi-square tests for continuous data. The human observer proved more accurate in identifying continuous distributions and the chi-square test proved to be superior in identifying discrete distributions. The effect of sample size and number of intervals in the histogram was included in the experimental design.en-USResearch Article10.1177/154193128803200701false