Yes, the experiment is designed in a way that allows for the results to be repeated or reproduced by other researchers.
If the experiment is not reproducible, no one can perform the experiment independently to confirm the results.
A reproducible experiment.
An experiment in which the results are repeatable....apex
It is only science if it can be repeated, so yes, experiments do need to be repeatable in order for something to be proven. The results of the experiment should be comperable if something is to be learned.
The results of an experiment must be reproducible, meaning that they can be consistently obtained when the experiment is repeated by other researchers. Results should also be accurate, reflecting the true outcome of the experiment, and relevant to the research question being investigated. Additionally, results should be clearly presented and interpreted in the context of existing scientific knowledge.
Apex Experimental results are not reliable if they are not repeatable.
In scientific terms, "repeatable" means that if you do the same experiment several times, you will get very close to exactly the same results each time.
If you repeat your experiment and obtain similar results, your experiment is referred to as being "reliable" or demonstrating "reliability." This consistency in results suggests that your findings are reproducible and not due to random chance. Such experiments contribute to the credibility of the scientific conclusions drawn from them.
The word repeatable means that it can occur again. In the case of a scientific question, you must be able to reproduce the experiment more than one time to prove it's not just a one-time occurrence.
An experiment is considered reproducible when it can be consistently repeated by different researchers using the same methodology and conditions, yielding similar results. This quality ensures the reliability and validity of the findings, allowing for independent verification of the original results. Reproducibility is a cornerstone of scientific research, as it helps to confirm that conclusions drawn from an experiment are not due to random chance or specific circumstances.
Essentially, it means that an experiment can be repeated multiple times and you would still draw the same conclusions from the results you obtain. There are various statistical tests you can perform to see if your results are statistically reproducible or not - there is always some small variation, but what's important is that the same conclusions can be drawn.
A reproducible variable refers to a factor in an experiment or study that can be consistently measured or replicated under the same conditions. This ensures that the results obtained are reliable and can be independently verified by other researchers. Reproducible variables contribute to the overall validity of scientific findings, allowing for comparisons across different studies. In contrast, non-reproducible variables can lead to inconsistent results and undermine the credibility of the research.