No. In fact, in statistics, an hypothesis is a statement whose truth is to be tested. In science, an hypothesis is a way of summarising a body of information that is capable of being shown to be false.
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.
Yes, the alternative hypothesis can be either true or false, depending on the context of the study or experiment. In hypothesis testing, the alternative hypothesis represents a statement that contradicts the null hypothesis; thus, only one can be true at a given time. If the alternative hypothesis is true, it suggests that there is a significant effect or difference, while if it is false, it indicates that the null hypothesis holds true. Ultimately, statistical tests aim to gather evidence to support one hypothesis over the other.
If a hypothesis has been tested many times (using approved experimental methods), and each test has proven the hypothesis to be true, the hypothesis can be taken to be a fact, or truth.
When we've proven that the hypothesis is false !
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.
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.
It is true.
Rejecting a true null hypothesis.
a. the hypothesis ispartly true but needs to be revised. b. the hypothesis wrong. c. the hypothesis is supported. d. the hypothesis is of no value.
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.