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Are data that do not support a hypothesis useful?
A. Yes, because the data prove that the experiment was designed
poorly
B. Yes, because the data provide useful information that can lead to
more testing
C. No, because the data show that the experiment failed
D. No, because the data must be inaccurate
B, because it’s never scientific to shun and condemn certain information just because it goes against your hypothesis. The mindset should be to always look into it.
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