The most important reason for repeating an experimental investigation is to verify the reliability and validity of the results. Repetition helps identify any inconsistencies or errors in the original experiment, ensuring that findings are not due to chance or experimental bias. Additionally, repeated experiments strengthen the overall conclusions and contribute to the robustness of scientific knowledge by confirming that the observed effects are reproducible under the same conditions.
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.
When different results occur during repeated investigations, it may indicate variability in the experimental conditions, measurement errors, or flaws in the original hypothesis. This inconsistency can prompt researchers to reassess their methods, refine their hypotheses, or explore new variables. It is also an opportunity for deeper inquiry, leading to a better understanding of the underlying phenomena. Ultimately, such discrepancies can contribute to the advancement of knowledge by highlighting the complexity of the subject matter.
Repeating trials after reaching a conclusion helps to ensure the reliability and validity of the results. It allows researchers to determine if their findings are consistent and not due to random chance or experimental error. Additionally, repeated trials can help identify any anomalies and provide a more comprehensive understanding of the phenomenon being studied. Ultimately, this practice strengthens the overall credibility of the investigation.
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.
cell cycle
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.
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
Cell Cycle
Replication
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.