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.
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 calculate the average for multiple trials in a chemistry experiment, add up the results of all the trials and then divide by the number of trials conducted. This will give you an overall average value that represents the combined results of all the trials. Averaging helps to minimize the impact of outliers and provides a more reliable estimate of the true value.
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.
Repeating an experiment helps to ensure the results are reliable and not just due to chance. Consistent results across multiple trials strengthen the conclusions drawn from the study and increase confidence in the findings.
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.