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.
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So the experiment's results are more reliable
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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.
connections academy this is cheating this is your science test! I took the same test
So the experiment's results are more reliable
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To make sure that the answer is correct.
To make sure that the answer is correct.
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
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.
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.
The number of trials in an experiment can vary depending on the specific experimental design and research question. Generally, experiments involve multiple trials to ensure reliability and accuracy in the results. Researchers often conduct a sufficient number of trials to detect patterns or trends in the data and to draw meaningful conclusions.
i think you have to conduct multiple trials :)