Want this question answered?
It could point to that the hypothesis was wrong.
some information; the data still provide valuable information about the hypothesis
If your hypthesis is not supported, you may need to think about it; it may then be revised and tested again
Do the experiment again and again to confirm the data is correct If the data is consistent then your hypothesis is wrong and you need to think of a new one that fits the data.
You need to rethink your hypothesis so it is supported by the data.
It could point to that the hypothesis was wrong.
some information; the data still provide valuable information about the hypothesis
If your hypthesis is not supported, you may need to think about it; it may then be revised and tested again
Science methods is part of the experiment. This is taught in science.
Well, they could but they shouldn't because they will do something wrong !!! And if it doesnt fit there hypothesis they need to try the experiment again until it fits there hypthesis !!! That would be my solution !!!
1.Observe 2. Hypothesis 3. Background 4. Materials/procedure 5. Experiment/data collection 6. Analyze data 7. Draw conclusion 8. Make a new hypthesis 9. Variables !
Do the experiment again and again to confirm the data is correct If the data is consistent then your hypothesis is wrong and you need to think of a new one that fits the data.
You need to rethink your hypothesis so it is supported by the data.
some information; the data still provide valuable information about the hypothesis
Discuss the results of your experiment. Explain about what you learned in the experiment. List any errors or problems that had occurred, and how to solve the problems. Explain what the data says about the experiment. List the ways of improving the experiment/method
Two reasons why data might not support a hypothesis are that the experiment had a flaw or was not repeated enough times. This happens a lot.
Two reasons why data might not support a hypothesis are that the experiment had a flaw or was not repeated enough times. This happens a lot.