You can throw out the hypothesis, reimagine it, or make a brand new guess.
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.
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.
If experimental results do not support a hypothesis, it indicates that the hypothesis may be incorrect or that the experimental design needs reevaluation. Researchers may analyze the data to identify potential errors or confounding factors and may revise the hypothesis or develop a new one. This process is essential for scientific progress, as it encourages further investigation and refinement of theories. Ultimately, it contributes to a deeper understanding of the subject being studied.
Results from an investigation can either support or contradict a hypothesis based on the evidence gathered. When the findings align with the initial predictions, they provide support, indicating that the hypothesis may be valid. Conversely, if the results are inconsistent with the hypothesis, they suggest that it may be unsupported or require reevaluation. Ultimately, the interpretation of results helps inform future research directions and understanding of the studied phenomenon.
You can throw out the hypothesis, reimagine it, or make a brand new guess.
You can throw out the hypothesis, reimagine it, or make a brand new guess.
it gets thrown out because it is irrelivant
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.
You can throw out the hypothesis, reimagine it, or make a brand new guess.
You can throw out the hypothesis, reimagine it, or make a brand new guess.
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.
Revise or discard your hypothesis.
Sometimes results of a particular experiment do not match our hypothesis. Most of the time in such a case hypothesis is modified to agree to the experimental data. Another approach can be repeating the same experiment again and comparing the the values form the second trial to the first one.
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.
Absolutely not. Hypothesis testing will never support a hypothesis, only fail to reject it.
Change or abandon your hypothesis.