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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.

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Related Questions

When enough experimental data supports a hypothesis it becomes what?

none


When enough experimental data support a hypothesis it's called?

theory


Is a Hypothesis based upon experimental data Question 8 options?

No, a hypothesis is not based on experimental data; rather, it is a proposed explanation or prediction that can be tested through experimentation. It is formulated based on observations, prior knowledge, or existing theories. Once experiments are conducted, the data collected can support or refute the hypothesis. Thus, while a hypothesis guides the experimental process, it is not derived from experimental data itself.


What happens if our data does not support our hypothesis?

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.


When the data seems to support your hypothesis it becomes a?

Theory. APEX -> conclusion


Can a hypothesis that has no experimental data help a scientist?

`no!


When hypothesis has backing of experimental data it is upgraded to?

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.


If data from repeated experiments support a hypothesis what would happen next?

It would become a theory. Then different predictions would need to be made to test other parts of it.


How can data not support your hypothesis?

If your hypothesis is totally incorrect then it is quite likely that the data will not support it.


What happens if experimental results do not support a hypothesis?

If experimental results do not support a hypothesis, it indicates that the hypothesis may be incorrect or that the experimental design needs reevaluation. Researchers may analyze the data to identify potential errors or confounding factors and may revise the hypothesis or develop a new one. This process is essential for scientific progress, as it encourages further investigation and refinement of theories. Ultimately, it contributes to a deeper understanding of the subject being studied.


When enough experimental data support a hypothesis becomes a(an)?

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.


How are a hypothesis and data related?

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