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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.
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 happens when in an investigation does not support the original hypothesis?
When an investigation does not support the original hypothesis, it can lead to several outcomes. Researchers may need to reevaluate their assumptions, refine their hypotheses, or develop new ones based on the data collected. This process is a fundamental part of the scientific method, as it encourages critical thinking and exploration of alternative explanations. Ultimately, it contributes to a deeper understanding of the subject being studied.
What is the difference between an experiment and investigation?
An experiment tests a hypothesis; an investigation mainly collects data.
What is the components of scientific investigation?
The components of scientific investigation include observation, hypothesis formulation, experimentation, data collection, analysis, and conclusion. Observations lead to questions, which are then addressed by creating a testable hypothesis. Experiments are designed to test this hypothesis, and data is collected and analyzed to determine whether the results support or refute the hypothesis. Finally, conclusions are drawn, and findings are communicated to contribute to the broader scientific understanding.
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.
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 do not support th original hypothesis?
it gets thrown out because it is irrelivant
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 happens when the data doesn't support the hypothesis?
Change or abandon your hypothesis.
What happenes 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.
What happened 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.
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 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.
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.
