Sometimes your data will not support your hypothesis. If this is the the case, what should you?

Answer 1

The solution is clear....you reject the hypothesis.....

Both theories and hypotheses rely on data and experimentation; the data horse drives the theory cart, not the other way around. If the data consistently refute the hypothesis, it is evident that the hypothesis is not a plausible explanation for the phenomenon under investigation. As a result, the hypothesis is rejected, and we look for a new interpretation that makes sense of the experimental data.

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Answer 2

Cooper Adams

Reevaluate the hypothesis, consider alternative explanations, and modify or discard the hypothesis accordingly.

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Answer from HIX Tutor

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.