Arizona State University (ASU) WPC 300 Problem Solving and Actionable Analytics Class number Practice Exam

External validity is about generalizability: would the observed effects from the experiment hold when you apply them to the broader population or real-world settings beyond the specific sample and context you tested? In analytics, that means asking if the measured lift or outcome would occur across different user groups, regions, devices, traffic sources, and typical production conditions, not just in the exact environment of the experiment.

This is different from internal validity, which focuses on whether the study design clearly shows a causal effect within the experiment itself, and from statistical significance, which asks whether the result is unlikely to be due to chance in this sample. A study can be statistically significant and internally valid but fail external validity if the sample or setting isn’t representative of the real world, or if the effect interacts with factors present outside the experiment.