An experiment should be repeated for two reasons. The first is that you want to be sure that your results stay the same. If they are different the second time then it shows that the result are not constant, and therefore cannot be used to prove a point. The second is that other should be able to repeat it to make sure that your did not make up your results.
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In case there was something that you didn't foresee that may have skewed your results. You want to test multiple times to insure accuracy.
Imagine if you were testing to see how far you could throw a football and you only tried once and you threw it 60 yards (but you didn't notice that there was a gust of wind that helped your throw). Then you went to the football game thinking you could throw the ball 60 yards when there was no wind?
You could end up under throwing your receiver by a good 5 or 10 yards, leaving it for an easy pick for the free safety, who then returns it for a touchdown and you lose the game.
When new information is discovered during the first time the scientific method is used but doesn't find the necessary answer, the information can be used for the second time, finding more and more observations leading to an answer.
To reduce Random and Systematic errors that may have occured during the experiment, by taking their average. This can get the most accurate value.
to make sure that when someone else does the experiment that they get the same answer or results as you do.
So he/she could look at the data again if something goes wrong.
A scientist might use a model as a research method for a few reasons. This model could tell the scientist how something moves for example.
there might not be enough proof
to get a bona
observe the natural world