if the hypothesis is proven to be correct or incorrect
It means that she or he has to accept that the existing hypothesis appears to be true.
Hypothesis is examined very closely to see what it predicts, and the predictions are then rigorously tested. If the predictions are not supported by the results of experiments, the hypothesis is rejected but if they are confirmed, the hypothesis is supported.
For a hypothesis to be put forward as a scientific hypothesis, the scientific method requires that one can test it. A working hypothesis is a provisionally accepted hypothesis proposed for further research.
An experiment is performed to generate more data. If the data proves to not support the hypothesis the experiment was still useful. You could reproduce your experiment to see if it is performing the way it should. After you have confirmed the experiment is performing correctly you then could devise another experiment to further test your hypothesis or accept the result and revise your hypothesis.
You accept an alternative hypothesis when the p-value is greater than the sample a for a confidence level of 95%. The null hypothesis cannot be accepted.
Be able to reject the null hypothesis and accept the research hypothesis
Be able to reject the null hypothesis and accept the research hypothesis
Be able to reject the null hypothesis and accept the research hypothesis
No, you are never certain.
Depending on the results of that test, either accept or reject that hypothesis.
if the hypothesis is proven to be correct or incorrect
This is used in statistic to know whether to accept or reject a null hypothesis or alternative hypothesis
Some people say you can either accept the null hypothesis or reject it. However, there are statisticians that insist you can either reject it or fail to reject it, but you can't accept it because then you're saying it's true. If you fail to reject it, you're only claiming that the data wasn't strong enough to convince you to choose the alternative hypothesis over the null hypothesis.
It means that she or he has to accept that the existing hypothesis appears to be true.
We have two types of hypothesis i.e., Null Hypothesis and Alternative Hypothesis. we take null hypothesis as the same statement given in the problem. Alternative hypothesis is the statement that is complementary to null hypothesis. When our calculated value is less than the tabulated value, we accept null hypothesis otherwise we reject null hypothesis.
You should reject the null hypothesis.