To make sure your results are Valid/reliable. You should always repeat your experiments and if using times or amounts and in the future going to make a graph its best to do the experiment 3 times and calculate the average on place the average result on to your graph.
to make the experiment more reliable
It's important to repeat experiments so then you know that you did the experiment right.
Repeating the experiment will either confirm the results you've just obtained, or show up errors.
so others can repeat it and see if you did it right
Scientists repeat others' experiments to double check their findings as well as to find new information that might have been missed initially.
to make the experiment more reliable
Scientists repeat their experiments because to make sure that their results are correct.
Scientists repeat their experiments because to make sure that their results are correct.
It's important to repeat experiments so then you know that you did the experiment right.
Repeating the experiment will either confirm the results you've just obtained, or show up errors.
so others can repeat it and see if you did it right
Scientists repeat others' experiments to double check their findings as well as to find new information that might have been missed initially.
To verify the results of the experiment.
Thomson did the experiment various times to observe if the particles behave the same way. How they did he determined they were the same kind later called electrons.
What is going to happen when you repeat this experiment on self D.C generator?
It is important to follow an experiment carefully because one mess up and the whole experiment could go wrong or it might change the outcome.
The scientist might repeat the experiment to verify the results and ensure they are reliable and reproducible. Repeating the experiment can help identify any inconsistencies or errors in the original procedure, allowing for corrections. It also strengthens the validity of the findings by demonstrating that they are not due to chance or specific conditions of a single trial. Additionally, replication can help confirm the robustness of the conclusions drawn from the initial results.