What is the most likely reason that a hypothesis would be useful even if experiments show that it is false? New hypotheses and experiments can be developed that better fit the observations made during the original experiments. Many new experiments could be designed and conducted to gather more evidence that the hypothesis is false. Scientists can know that there is no relationship between the dependent and independent variables being tested The field of study can be ignored because it has proven to be untestable by scientific standards.

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What is the most likely reason that a hypothesis would be useful even if experiments show that it is false? New hypotheses and experiments can be developed that better fit the observations made during the original experiments. Many new experiments could be designed and conducted to gather more evidence that the hypothesis is false. Scientists can know that there is no relationship between the dependent and independent variables being tested The field of study can be ignored because it has proven to be untestable by scientific standards.

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The most likely reason that a hypothesis would be useful even if experiments show it is false is that new hypotheses and experiments can be developed that better fit the observations made during the original experiments.

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