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1. Its important because if you repeat you'll get consistent results. 2. That means if a scientist gets different results it means they did something wrong in the experiment
They will need to keep redoing it until everyone has the same answer
There are no following principles listed in the question.
In the troubleshooting process, it is important to correctly identify the problem at the beginning. This will help prevent repeating repair processes.
Well, sometimes the answer is specific to the investigation, but you can usually produce a set of better results, by repeating the experiment at least 3 times. If the results are all similar, you can know that they are reliable, but if there is an anomaly, it is most likely, that that set of results are not accurate and you shouldn't use these when you produce your average. (if you decide to have an average. Hope this helps!
repeating a investigation can help to confirm your results. If you try an experiment once, it could be wrong so try it again and repeat it to confirm the results.
Sometimes results of a particular experiment do not match our hypothesis. Most of the time in such a case hypothesis is modified to agree to the experimental data. Another approach can be repeating the same experiment again and comparing the the values form the second trial to the first one.
cell cycle
1. Its important because if you repeat you'll get consistent results. 2. That means if a scientist gets different results it means they did something wrong in the experiment
Replication
Cell Cycle
They will need to keep redoing it until everyone has the same answer
They will need to keep redoing it until everyone has the same answer
In the long run, u might find some evidence u did not find before.
There are no following principles listed in the question.
They are both estimates of the probability of outcomes that are of interest. Experimental probabilities are derived by repeating the experiment a large number of times to arrive at these estimates whereas theoretical probabilities are estimates based on a mathematical model based on some assumptions.
In the troubleshooting process, it is important to correctly identify the problem at the beginning. This will help prevent repeating repair processes.