Discuss Data Do not Support the Hypotheses
Discussion Prompt 1: Discuss how the sociological imagination may be helpful to someone who pursues a career in health care. Think of your current or future profession within this context and describe how your perspective may change now that you know how to use your sociological imagination to examine the workplace situation.
Discussion Prompt 2: What if you worked on research for a year and spent over a billion dollars, and then you discovered that some of the data did not support your hypotheses. Do you think it is all right to report on only the data that supports your hypotheses? Why or why not?
Formulating a New Hypothesis If the initial hypothesis is not supported, you can go back to the drawing board and hypothesize a new answer to the question and a new way to test it. If your hypothesis is supported, you might think of ways to refine your hypothesis and test those.
What does a scientist do if a hypothesis is not supported?
If the initial hypothesis is not supported, you can go back to the drawing board and hypothesize a new answer to the question and a new way to test it.
Is an experiment valid if the hypothesis is not supported by the results?
It is by no means a failure if your data do not support your hypothesis; in fact, that can be more interesting than the other way around, because you may find a new perspective for looking at the data. Failure to support hypotheses is common in science, and often serves as a starting point for new experiments.
What should you do if your hypothesis is wrong?
When a hypothesis fails, the first thing you should do is examine the data closely. Then use your research and data to determine a possible reason why the hypothesis was incorrect. Once you come up with a reason your hypothesis may have failed, you can start thinking of ways to check your assumption.
What happens if a hypothesis is disproven?
The science experiment is designed to disprove or support the initial hypothesis. When the findings do not align with the hypothesis, the experiment is not a failure. When the results do not agree with the hypothesis, record the information just as if it did support the original hypothesis.
Is it OK if your hypothesis is wrong?
Upon analysis of the results, a hypothesis can be rejected or modified, but it can never be proven to be correct 100 percent of the time. For example, relativity has been tested many times, so it is generally accepted as true, but there could be an instance, which has not been encountered, where it is not true.