The first must be inaccurate because you are sure the second results are correct.
The reason for repeating an experiment is to either verify or disprove the original finding.
When conducting an experiment, repitition is often a good idea. This is because the data from different repeated trials could well very, meaning that the more repeated trials you have, the more accurate your final data is bound to be.
Trials are the amount of times a certain experiment is repeated.
An experiment in which the results are repeatable....apex
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.
The reason for repeating an experiment is to either verify or disprove the original finding.
If , in the course of your experiment, you run repeated trials with differing results, it is necessary to ensure that only one variable is changing for each experiment. Recheck the data collected for errors.
When conducting an experiment, repitition is often a good idea. This is because the data from different repeated trials could well very, meaning that the more repeated trials you have, the more accurate your final data is bound to be.
Repeated trials of said experiment.
Trials are the amount of times a certain experiment is repeated.
A reproducible experiment.
An experiment in which the results are repeatable....apex
Repeatability refers to the ability to obtain the same results when an experiment is repeated by the same person using the same methods and equipment. Reproducibility, on the other hand, refers to the ability to obtain consistent results when the experiment is repeated by different people or in different settings.
If you repeat the experiment and you get different results, then the accuracy of your first trial is not correct.
because it obviously had no proof and the same results were not achieved when the experiment was repeated several times by different scientists.
because it obviously had no proof and the same results were not achieved when the experiment was repeated several times by different scientists.
a variable can throw the whole experiment off and will have to be repeated.