It is important to test multiple trials of an experiment to ensure that your results are accurate,
reliable, and reproducible. If you had made an error for your observations in the first trial,
they should be made obvious by your observations in your second trial.
In order for the results of those experiments to be actual comparisons of "control," or known, conditions to conditions that are to be tested. So that those results may be accepted, they have to be "peer-reviewed," which means that other scientists have to be able to repeat, and exactly so at that, the same results of the same experiments.
1.your answer is more accurate
2.there might have been bias in the experiment
they do more trials to get a better and more deffinet result
To double-check the results so they are the same each time.
The result should differ each time
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So the experiment's results are more reliable
There are multiple trials conducted, and the procedure for collecting data is properly designed.
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Scientists do multiple trials and find the mean of the trials to make their results reliable-this eliminates the impact any anomalies may have.
If after multiple trials you still get the same data or information
So the experiment's results are more reliable
So that way, you could get different results in each trial
There are multiple trials conducted, and the procedure for collecting data is properly designed.
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Scientists do multiple trials and find the mean of the trials to make their results reliable-this eliminates the impact any anomalies may have.
If after multiple trials you still get the same data or information
To ensure an experiment's results are valid, you must conduct multiple trials to account for variability and increase reliability. This helps to minimize potential errors and ensure that the results are consistent and reproducible.
Trials are the amount of times a certain experiment is repeated.
you conduct multiple trials so that if a variable was accidently changed in the first experiment you can catch and correct it in the next experiments. this way you get an average answer that can work almost every time. this way you can see if your theory works the same every time. So that we can explain.
To make sure that the answer is correct.
To make sure that the answer is correct.
The number of trials is important to a science experiment. The more times you do the experiment, the more meaningful your data will be.