Many trials are taken in an experiment as a way to limit experimental error. For example, if you are timing how long it takes a ball to roll down an angled track, as a human being you might release the ball at the wrong time, or push the stop button on the timer early or late. By running multiple trials and averaging the results, these errors should balance themselves out and give a better result.
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Constants are the things that are kept the same each time one of the trials in the experiment is repeated. For example, constants could include the amount of water used, the brand of effervescent tablet used, the type of water used, and the fact that the water was not stirred. As many outside factors as possible should be kept constant in an experiment so that the researcher can be sure that any changes that occur do so because of the independent variable.
Accuracy is depended on how many "shots" you take to a certain target. If the "shots" are close to each other , you have good accuracy.
Always perform the experiment under adult supervision.
Limit variables. Use accurate measuring equipment. Use multiple trials to obtain data that can be averaged. Observe intently.
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Trials are the amount of times a certain experiment is repeated.
The number of trials and sample sizes generally increase the accuracy of the results because you can take the average or most common results in the experiment
Repeated trials of said experiment.
so your answer is accurate
how many times did you trial your experiment, for each test you did
So the experiment's results are more reliable
If it is the same experiment attached to link, you would need only 1 trial each unless you want to retry if there is more grain or shape distribution. There is no requirement for how many time in repeating experiment since it is observation experiment not measuring experiment.
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Experimental Probability
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More trials of the experiment.