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.
when results from the experiments repeatedly fail to support the hypothesis.
The results can support their hypothesis by comparing the results, or setting them out in a table or graph. Conclusions can also be written to simplify the process.
You can throw out the hypothesis, reimagine it, or make a brand new guess.
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.
The conclusion either supports or rejects the hypothesis based on the data and results obtained during the experiment or study. If the conclusion aligns with the hypothesis, it supports it. If the conclusion contradicts the hypothesis, it rejects it.
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.
Revise or discard your hypothesis.
When scientists evaluate whether their data confirmed or rejected the hypothesis, it is referred to as hypothesis testing. This process involves analyzing the results of experiments or observations to determine if they support or contradict the initial hypothesis formulated before the research. If the data supports the hypothesis, it may lead to further investigation; if it rejects the hypothesis, researchers may revise their understanding or formulate new hypotheses.
when results from the experiments repeatedly fail to support the 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.
The results can support their hypothesis by comparing the results, or setting them out in a table or graph. Conclusions can also be written to simplify the process.
Absolutely not. Hypothesis testing will never support a hypothesis, only fail to reject it.
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.
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.