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What else can I help you with?
If after doing some research you find that the data doesn't support your hypothesis what should you do?
Propose another hypothesis
What do scientist do when their data does not support their hypothesis?
Discard or change the hypothesis.
When the data seems to support your hypothesis it becomes a?
Theory. APEX -> conclusion
If your experiment does not support your hypothesis then you should change your data to support your hythesis?
No. It just means that what you hypothesized would happen didn't. You shouldn't change anything. A hypothesis is simply a guess on what will happen, so if your guess isn't true that's okay.
What does it mean to reject or accept your hypothesis?
To reject a hypothesis means that the evidence or data collected during an experiment does not support it, leading to the conclusion that the hypothesis is unlikely to be true. In contrast, accepting a hypothesis suggests that the evidence aligns with the predictions made, providing support for its validity. However, acceptance does not prove it definitively, while rejection indicates that the hypothesis is not supported by the current data. Ultimately, both outcomes guide further research and investigation.
What should you do if your data doesnt support your hypothesis?
Reevaluate your hypothesis, or reject the hypothesis. You should also recheck your data.
If the data doesn't support your hypothesis what should you do?
Regroup and propose another theory Propose another hypothesis
How can data not support your hypothesis?
If your hypothesis is totally incorrect then it is quite likely that the data will not support it.
What should you do if your data doesn't support your hypothesis?
try again and see if it does
If after doing some research you find that the data doesn't support your hypothesis what should you do?
Propose another hypothesis
True or false If your experiment does not support your hypothesis you should change your data to give support to the hypothesis?
False- The hypothesis is your prediction of what you expect to happen. If the data does not agree with your hypothesis you simply explain why your hypothesis did not come true and possibly investigate variable which would allow your hypothesis to come true.
If your experiment does not support your hypothesis you should change your data to give support to the hypothesis. true or false?
False- The hypothesis is your prediction of what you expect to happen. If the data does not agree with your hypothesis you simply explain why your hypothesis did not come true and possibly investigate variable which would allow your hypothesis to come true.
What is the next step if the data from investigation does not support the original hypothesis?
If the data from an investigation does not support the original hypothesis then either:The method of investigation may be flawed and may need to be changed and repeated.The interpretation of the data may be incorrect and should be reviewed.The hypothesis needs to be reevaluated to possibly conform to the data.
What is the next step if the data from an investigation does not support the original hypothesis?
If the data from an investigation does not support the original hypothesis then either:The method of investigation may be flawed and may need to be changed and repeated.The interpretation of the data may be incorrect and should be reviewed.The hypothesis needs to be reevaluated to possibly conform to the data.
What do scientist do when their data does not support their hypothesis?
Discard or change the hypothesis.
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 when the data doesn't support the hypothesis?
Change or abandon your hypothesis.
