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.
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.
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
So he/she could look at the data again if something goes wrong.
So he/she could look at the data again if something goes wrong.
So he/she could look at the data again if something goes wrong.
Scientists repeat their experiments because to make sure that their results are correct.
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
to get a bona
to get a bona
A scientist might repeat the work of another to verify the results for accuracy and reliability, to build upon the previous research and validate its findings, or to identify any potential errors or biases in the original study.
its to old
It is to old