Group A received the new running shoes, while Group B did not. You have two groups, Group A and Group B. If a result is statistically significant, it means that it’s unlikely to have occurred as a result of chance or a random factor.Įven if data appears to have a strong relationship, you must account for the possibility that the apparent correlation is due to random chance or sampling error.įor example, consider you’re running a study for a new pair of running shoes designed to improve average running speed. Put simply, statistical significance refers to whether any differences observed between groups studied are “real” or simply due to chance or coincidence. In common parlance, significance means “important”, but when researchers say the findings of a study were or are “statistically significant”, it means something else entirely. If you’re not a researcher, scientist or statistician, it’s incredibly easy to misunderstand what’s meant by statistical significance. Assuming you intented to have a 50% / 50% split, a Sample Ratio Mismatch (SRM) check indicates there might be a problem with your distribution.
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