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.
Then explain why it was wrong
draw conclusions
draw conclusions
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.
The results of his experiments did not support his hypothesis.
Then explain why it was wrong
draw conclusions
draw conclusions
draw conclusions
draw conclusions
draw conclusions
end the experiment and throw away the datarepeat the experiment until the hypothesis is supportedchange the hypothesisargue that the results were
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.
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.