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This may seem confusing, but I'll try. When you collect data from a sample, you have to determine if the differences you found is so great that it is statistically significant in the population (whole). Differences will occur in data, but if they are not considered significant they are not useful. You would run certain inferential tests to see if something is significant. The test you run depends on the type of data you collect.

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Q: In statistics how are decisions made on data based on significance?
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