The hypothesis can never really be proven correct; that's why scientists always say that they are 99.9% sure about things. If you drop a pencil, it will most likely always fall, but there is the slight chance that someday, it won't fall. Things in science always change.
none
theory
If your data does not support your hypothesis, it means that there is not enough evidence to conclude that your hypothesis is true. In such cases, you may need to reconsider your hypothesis, collect additional data, or revise your experimental approach. It is important to acknowledge and learn from results that do not support your initial hypothesis in order to refine your research and understanding.
Theory. APEX -> conclusion
`no!
When a hypothesis has backing of experimental data, it is typically upgraded to a theory. This indicates that there is substantial evidence to support the hypothesis and that it has withstood extensive testing and scrutiny.
It would become a theory. Then different predictions would need to be made to test other parts of it.
If your hypothesis is totally incorrect then it is quite likely that the data will not support it.
The hypothesis and the Data are related because the hypothesis is what you think is going to happen, and if you're right, then that becomes the data
The hypothesis can never really be proven correct; that's why scientists always say that they are 99.9% sure about things. If you drop a pencil, it will most likely always fall, but there is the slight chance that someday, it won't fall. Things in science always change.
When a hypothesis is not supported by data, two possibilities exist. The hypothesis can either be rejected and a new one is formulated, or more data is required to retest the hypothesis.
No. You can use your experimental observations or do more research to formulate a new hypothesis. A hypothesis that is not supported by the experimental data, it is just simply an unsupported hypothesis.