Not sure about an interactive hypothesis: are you sure you don't mean alternative hypothesis?
It tells us that H1,H0 (alternative )hypothesis is selected
Either H1 or Ha.
In statistics the null hypothesis is usually the one that asserts that the data come from some defined distribution. The alternative hypotheses may simply be that they do not, or it may be that they come from some other, defined distribution.
Power analysis can be used to calculate statistical significance. It compares the null hypothesis with the alternative hypothesis and looks for evidence that can reject the null hypothesis.
with the alternative hypothesis the reasearcher is predicting
In research, a null hypothesis means that no results will be found. An alternative hypothesis means that results will be found.
with the alternative hypothesis the reasearcher is predicting
H0 is the null hypothesis and h1 is the alternative hypothesis
In research, a null hypothesis means that no results will be found. An alternative hypothesis means that results will be found.
The null hypothesis is that there is no change in the population mean while the alternative hypothesis is that there is a change in the mean. The null hypothesis is stated as Ho:Mu=? in statistics while the alternative hypothesis is stated as Ho:Mu(<,>,≠)? depending on whether you are looking for mu to be greater, less than, or not equal to population mean.
The difference between the null hypothesis and the alternative hypothesis are on the sense of the tests. In statistical inference, the null hypothesis should be in a positive sense such in a sense, you are testing a hypothesis you are probably sure of. In other words, the null hypothesis must be the hypothesis you are almost sure of. Just an important note, that when you are doing a tests, you are testing if a certain event probably occurs at certain level of significance. The alternative hypothesis is the opposite one.
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.
The trick of course is to find an alternative a priori hypothesis.
Not sure about an interactive hypothesis: are you sure you don't mean alternative hypothesis?
It tells us that H1,H0 (alternative )hypothesis is selected
A result which is consistent with a hypothesis adds weight to the evidence in favour of that hypothesis: it makes it more likely that the hypothesis is true. But you can never ever confirm a scientific hypothesis. The best that you can do is to show that an alternative hypothesis is unlikely. There could be another hypothesis which is better than the one you started with as well as the alternative that you compared it with: but you simply do not know.