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Actually, it's the other way around...

If something is statistically significant, it may or may not be practically significant. Example: A new pill is proven to reduce the average time someone has the flu from 9 days to 8.85 days. Because it has been proven, it is statistically significant; however, a decrease in .15 days isn't practically significant.

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Q: When does practical significance compensate statistical significance?
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