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What else can I help you with?
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.
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.
Give at least two reasons why an experiment might not support a hypothesis even when the hypothesis is correct?
i like 69 in the but
Two reason why an experiment might not support a hypothesis even when the hypothesis is correct?
An experiment might not support a hypothesis even if the hypothesis is correct because if the conclusion
Why is the hypothesis still not considered proven If experiments support a hypothesis?
A better explanation might exist.
If experiments support a hypothesis why is the hypothesis still considered not proven?
A better explanation might exist.
If experiments support a hypothesis why is the hypothesis still not a considered proven?
A better explanation might exist.
If experiments support a hypothesis why is the hypothesis still not considered proven?
A better explanation might exist.
What might you ask yourself when drawing a conclusion?
you need to ask ----> Does my conclusion support my hypothesis?
What is the relationship between a hypothesis and a prediction?
A hypothesis is a proposed explanation for a phenomenon, while a prediction is a statement about an expected outcome based on the hypothesis. The hypothesis guides the prediction by suggesting what might happen in a given situation. Predictions are then tested to determine if they support or refute the hypothesis.
what are two reasons why people might support trial jury?
There are two reasons on why people might support trial by jury. The jury is needed for trials because if if the jury is not convinced with the case then there is no more case if they are convinced then it is a win win case.
Suppose the data does not support the hypothesis What should you do to the theory that you gave the hypothesis?
It ultimately depends on what your theory is. Sometimes the fact that your data doesn't support your hypothesis means that the theory from which the hypothesis was derived was altogether wrong and is therefore discarded. Other times it might just mean a simple modification of the original theory, to accommodate the new-found evidence.The most important thing to remember is that your data will not always support your hypothesis, and in the event that such happens, you end learning a whole lot more.A.B.C.D.its A
