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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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Loma Schowalter

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3y ago

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When enough experimental data supports a hypothesis it becomes what?

none


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

theory


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.


How is null hypothesis used in experimental design?

In experimental design, the null hypothesis serves as a foundational statement that posits no effect or no difference between groups or conditions. It provides a baseline against which researchers can compare their experimental results. By testing the null hypothesis, researchers can determine whether observed effects are statistically significant or could have occurred by chance. If the null hypothesis is rejected, it suggests that there is enough evidence to support an alternative hypothesis.


How do you make a hypotheses?

A hypothesis is a statement of theory. Something that is unproven. You gather evidence to support that theory. Gather enough evidence to support and a theory becomes accepted as fact.


What does a hypothesis become once there is enough data to support it?

It will become an Exploit.


What is a scientic theory?

A scientific theory summarizes a hypothesis or group of hypotheses that have been supported with repeated testing. If enough evidence accumulates to support a hypothesis, it moves to the next step; known as a theory; in the scientific method and becomes accepted as a valid explanation of a phenomenon.


What could be two reasons why the data might not support the hypothesis?

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.


What might be two reasons why the data might not support the hypothesis?

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.


What could be the two reasons why the data might not support the hypothesis?

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.


Is it true scientific inquiry often begins with developing a hypothesis?

Yes. The next step is to try and gather enough evidence to support the hypothesis.


The results you expect when you test hypothesis?

You are supposed to assume/expect that nothing happens, or the norm happens. E.g. if you are testing if plants grow more in light, you assume they dont, then see if that expectation is consistent with the result.