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.
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.
Yes. The next step is to try and gather enough evidence to support the hypothesis.
We are currently in the experimental stage.They have a very experimental love live.These experimental conditions are not good enough.
Yes, if there is enough evidence and data to show that the hypothesis is most likely true.
A Hypothesis
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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.
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.
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.
It will become an Exploit.
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.
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.
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.
Yes. The next step is to try and gather enough evidence to support the 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.