0
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.
What else can I help you with?
The results you expect when you test hypothesis?
You are supposed to assume/expect that nothing happens, or the norm happens. E.g. if you are testing if plants grow more in light, you assume they dont, then see if that expectation is consistent with the result.
Why was this hyphothesis rejected?
The hypothesis was rejected because the results did not support it based on the data collected during the experiment. The data may have shown no significant difference or opposite results than what was predicted in the hypothesis, leading to its rejection.
Is hypothesis supported?
The degree to which a hypothesis is supported depends on the evidence available. If data and research findings align with the hypothesis and suggest a pattern or relationship, it can be considered supported. Further testing and analysis are often needed to strengthen the level of support for a hypothesis.
What describes the meaning phrase results support the hypothesis?
When results support the hypothesis, it means that the data collected in the study aligns with the initial prediction or proposed explanation. This is a positive outcome as it suggests that the hypothesis was likely accurate in predicting the relationship between variables. It adds credibility to the research findings and provides evidence to support the researchers' claims.
When hypothesis has backing of experimental data it is upgraded to?
When a hypothesis has backing of experimental data, it is typically upgraded to a theory. This indicates that there is substantial evidence to support the hypothesis and that it has withstood extensive testing and scrutiny.
What happens when the data doesn't support the hypothesis?
Change or abandon your hypothesis.
What could be two reasons why the data might not support the hypothesis?
Two reasons why data might not support a hypothesis are that the experiment had a flaw or was not repeated enough times. This happens a lot.
What could be the two reasons why the data might not support the hypothesis?
Two reasons why data might not support a hypothesis are that the experiment had a flaw or was not repeated enough times. This happens a lot.
What might be two reasons why the data might not support the hypothesis?
Two reasons why data might not support a hypothesis are that the experiment had a flaw or was not repeated enough times. This happens a lot.
What happens when the data in an investigation does support the original hypothesis?
You can throw out the hypothesis, reimagine it, or make a brand new guess.
What happens when the data in an investigation does not support the original hypothesis?
You can throw out the hypothesis, reimagine it, or make a brand new guess.
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 happens when the data in an investigation do not support th original hypothesis?
it gets thrown out because it is irrelivant
What happens when the data from an investigation does not support the hypothesis?
1, The hypothesis may have to be revised. 2. The method of accumulating data may be flawed 3. The data may have been contaminated by other sources.
What should you do if your data doesnt support your hypothesis?
Reevaluate your hypothesis, or reject the hypothesis. You should also recheck your data.
What do scientist do when their data does not support their hypothesis?
Discard or change the hypothesis.
What should you do when your data will not support your hypothesis?
come up with new hypothesis
