The results of repeated investigations might differ due to variations in experimental conditions, such as changes in environmental factors, measurement techniques, or sample sizes. Human error in data collection or analysis can also lead to discrepancies. Additionally, inherent variability in biological or physical systems may produce different outcomes even under similar conditions, highlighting the complexity of the phenomena being studied.
they have to make sure that their answers from the similar investigation because it might be wrong
According to the scientific method they do it because the first time they try the experiment, the results might be wrong. In the case of which many experiments are being tested multiple times, scientists want to make sure that there results are correctly answered.
We know that many phenomena are quite variable. The weather is not the same every day. One person does not necessarily act the same way or have the same biological features as another person. Some individuals might be typical of their species, while others might be unusual in some way. So, if you are investigating some particular phenomenon, you want to make sure that the results that you got are normal or representative results, rather than anomalous results. Even aside from the variability of nature, there is also the factor of the imperfection of scientists. Scientists can also be sloppy, and can make mistakes. You might have used the wrong chemical, mislabeled something or misread a label, and so forth. We can never simply assume that any given experiment was done correctly. So, by doing something repeatedly, we can be more confident of the result. We confirm the result by getting it more than once. If, however, we do repeated trials and get different results, that is an interesting observation and it becomes necessary for us as scientists to find out the reason for these varying results. There is something we did not notice, something that is not the same, or something that is more unpredictable than we thought it was. Maybe we thought that all of our mice were the same, but it turns out that we are actually dealing with two different species of mice, and they have significantly different biological traits. Whatever the problem is, we have to track it down and identify it, otherwise we will never be able to understand the results of our experiment.
After analyzing their results, scientists interpret the data to draw conclusions about their hypotheses. They often compare their findings with existing literature to assess consistency and relevance. Additionally, they may share their results through publications, presentations, or discussions with peers to contribute to the broader scientific community. Finally, based on their conclusions, they might propose further experiments or investigations to explore new questions or refine their understanding.
Redi likely repeated his experiment under slightly different conditions to ensure the reliability and validity of his results. By varying the conditions, he could test the robustness of his conclusions regarding spontaneous generation and eliminate any potential variables that might have influenced the initial results. Additionally, repeating the experiment helps to confirm findings and address any skepticism from the scientific community. This rigorous approach enhances the credibility of his work and strengthens the overall argument against spontaneous generation.
they have to make sure that their answers from the similar investigation because it might be wrong
the temperature of the endothermic organism would decrease and the cells in the organisms would explode because of the high water content in the cells.
According to the scientific method they do it because the first time they try the experiment, the results might be wrong. In the case of which many experiments are being tested multiple times, scientists want to make sure that there results are correctly answered.
We know that many phenomena are quite variable. The weather is not the same every day. One person does not necessarily act the same way or have the same biological features as another person. Some individuals might be typical of their species, while others might be unusual in some way. So, if you are investigating some particular phenomenon, you want to make sure that the results that you got are normal or representative results, rather than anomalous results. Even aside from the variability of nature, there is also the factor of the imperfection of scientists. Scientists can also be sloppy, and can make mistakes. You might have used the wrong chemical, mislabeled something or misread a label, and so forth. We can never simply assume that any given experiment was done correctly. So, by doing something repeatedly, we can be more confident of the result. We confirm the result by getting it more than once. If, however, we do repeated trials and get different results, that is an interesting observation and it becomes necessary for us as scientists to find out the reason for these varying results. There is something we did not notice, something that is not the same, or something that is more unpredictable than we thought it was. Maybe we thought that all of our mice were the same, but it turns out that we are actually dealing with two different species of mice, and they have significantly different biological traits. Whatever the problem is, we have to track it down and identify it, otherwise we will never be able to understand the results of our experiment.
The phrase "ad hoc" means something formed for a specific purpose: an ad hoc committee, for example, is the opposite of a standing committee. Thus, ad hoc internal investigations would be specific investigations, rather than a periodic review. We might annually check who has keys to each room of the building, but if a set of keys goes missing, we might have ad hoc internal investigations to determine where they went.
how you own values in relation to hygiene might differ from those of individuals and how to deal with this
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.
because you might die.
In frequency or wavelength.
investigation
How might demand for low-fare service differ in the Asia Pacific region from the North America and Europe
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