The only way anything can be both true and false is when considered under different circumstances or when considered in relative comparison, e.g. the outdoor temperature may be warm when compared with the temperature at the North Pole, but cool when compared with the temperature at the Equator.
An hypothesis should be all true, as much as you know as being true.
False- The hypothesis is your prediction of what you expect to happen. If the data does not agree with your hypothesis you simply explain why your hypothesis did not come true and possibly investigate variable which would allow your hypothesis to come true.
A hypothesis is what someone suggests could be true, and then tests it to see whether or not it is true. A law is what has been proven to be true.
It must be possible to observe whether the hypothesis is true.
A hypothesis answers a question. I could be true, but only if you prove it. So no, not all hypothesis are true.A hypothesis is just a reasoned guess. That is why you perform experiments, to test hypotheses. The data you collect from the experiment will help support whether or not your hypothesis is true.
A hypothesis is the first step to elaborate a theory; it is not a true explanation.
Yes, Niels Bohr did use the scientific method. However, the scientific method ultimately proved his hypothesis to be only partly true.
A hypothesis is a statement.
False- The hypothesis is your prediction of what you expect to happen. If the data does not agree with your hypothesis you simply explain why your hypothesis did not come true and possibly investigate variable which would allow your hypothesis to come true.
False- The hypothesis is your prediction of what you expect to happen. If the data does not agree with your hypothesis you simply explain why your hypothesis did not come true and possibly investigate variable which would allow your hypothesis to come true.
partly true
No. A hypothesis is an educated guess, based on observation. Usually, a hypothesis can be supported or refuted through experimentation or more observation. A hypothesis can be disproven, but not proven to be true.
True because the point of the hypothesis test is to figure out the probability of the null hypothesis being true or false. If it is tested and it is true, then you do not reject but you reject it, when it is false.
in some cases it's true. if it is true in your case, this means your hypothesis was a successful one.
It is the hypothesis that is presumed true until statistical evidence in the form of a hypothesis test proves it is not true.
It is the hypothesis that is presumed true until statistical evidence in the form of a hypothesis test proves it is not true.
Rejecting a true null hypothesis.
It is true.