An experiment has results that are the opposite of what a team of scientists predicted. Which are appropriate responses for the team of scientists, according to the scientific method? Select all answers that apply. A. Contact major media outlets to report a scientific breakthrough, immediately. B. Repeat the experiment to see if the results are consistent. C. Publish the results with the original hypothesis. D. Publish the results with a revised hypothesis that matches the data. E. Do not publish the results because the experiment did not work. F. Revise the hypothesis. G. Omit the data that do not support the hypothesis. H. Design an experiment to test a revised hypothesis. I. Check for sources of experimental error. J. Discuss the results with other teams of scientists working in the same field.
Step by step:A prediction is basically an educated guess and if you are looking for the exact word to describe that you would find that hypothesis is the correct way to tell what is a prediction.
Yes, data that does not support a hypothesis is useful.
As you may already know, a hypothesis is an assumption about something, about some phenomenon, or about a situation. This assumption must be credited or discredited through experiments that will generate data that may support the hypothesis or not support the hypothesis.
In all cases, the data is useful. Data that support the hypothesis prove that the hypothesis is true and can stop being a speculation, to be a truth. On the other hand, data that do not support the hypothesis are useful because they take away the credibility of the speculation, showing that it cannot be carried forward, since it is not true.
Yes. Because the hypothesis is just a proposed explanation pending further investigation. So new data could prove hypothesis wrong.
Because in science, we always evaluate, and if its not correct, go back and see what we did wrong.