Scientists, like everyone else, are imperfect. You cannot be absolutely sure that you have not made a mistake or overlooked something when you do an experiment, but if you do it several times and get the same result, then you can be more confident that you did it correctly. If you do it several times and get different results, that is a clue that tells you that there is something about the experiment that you have failed to understand.
Trials are the amount of times a certain experiment is repeated.
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.
Experimental Probability
repeated trials
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Trials are the amount of times a certain experiment is repeated.
Repeated trials of said experiment.
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.
Experimental Probability
repeated trials
Your experiment must be able to be repeated so you can conduct multiple trials, thus eliminating errors. It must also be able to be replicated so other scientists can repeat it themselves.
It is empirical (or experimental) probability.
Scientists, like everyone else, are imperfect. You cannot be absolutely sure that you have not made a mistake or overlooked something when you do an experiment, but if you do it several times and get the same result, then you can be more confident that you did it correctly. If you do it several times and get different results, that is a clue that tells you that there is something about the experiment that you have failed to understand.
data from repeated trials of the experiment
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It is the probability of an event calculated from repeated trials of an experiment.
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.