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Why is hypothesis is discarded as a valid hypothesis?

when results from the experiments repeatedly fail to support the hypothesis.


What do scientists do to determine if their results support their hypothesis?

The results can support their hypothesis by comparing the results, or setting them out in a table or graph. Conclusions can also be written to simplify the process.


Need a scientific sentence with the word hypothesis?

The results of his experiments did not support his hypothesis.


What if the results do not support the hypothesis you were testing?

Then explain why it was wrong


What can scientists do if the results of an experiment do not support a hypothesis?

draw conclusions


What can scientists do if the results of an experiments do not support a hypothesis?

draw conclusions


What can a scientist do if the results of an experiment do not support a hypothesis?

draw conclusions


What can scientists do if the results of an experiment do not support hypothesis?

draw conclusions


What can scientist do if results of an experiment do not support a hypothesis?

draw conclusions


A researcher finds that her data does not support her hypothesis what conclusion can she reach?

end the experiment and throw away the datarepeat the experiment until the hypothesis is supportedchange the hypothesisargue that the results were


What is a summary that explains whether the data support the hypothesis?

To determine if the data support the hypothesis, one must analyze the findings in relation to the predicted outcomes. If the results consistently align with the hypothesis and demonstrate statistically significant correlations or differences, then the data can be considered supportive. Conversely, if the results contradict the hypothesis or show no significant relationship, the data would not support the hypothesis. In summary, the support hinges on the alignment of the data with the expected predictions of the hypothesis.


What happens if our data does not support our hypothesis?

If your data does not support your hypothesis, it means that there is not enough evidence to conclude that your hypothesis is true. In such cases, you may need to reconsider your hypothesis, collect additional data, or revise your experimental approach. It is important to acknowledge and learn from results that do not support your initial hypothesis in order to refine your research and understanding.