A hypothesis will be rejected if it fails the necessary testing required for it to become a scientific theory.
The hypothesis test.
no. you need to have solid proof that it exist.. else it will be rejected.
It tells us that H1,H0 (alternative )hypothesis is selected
no
When we've proven that the hypothesis is false !
It is when you know that your hypothesis is wrong.
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 answer to the question why is this: It can be rejected at a later date because it is falsifiable in nature if it is a good hypothesis. If you meant to ask HOW it can be rejected, the answer is by way of further experimentation that rules out some or all of the hypothesis as stated.
The hypothesis test.
no. you need to have solid proof that it exist.. else it will be rejected.
yes
It tells us that H1,H0 (alternative )hypothesis is selected
no
The significance test is the process used, by researchers, to determine whether the null hypothesis is rejected, in favor of the alternative research hypothesis, or not.
When we've proven that the hypothesis is false !
the reason why a rejected hypothesis can still be of value to a scientist is because that secific hyothesis may not work for your experiment but it could work for a different experiment/theory
There are two types of errors associated with hypothesis testing. Type I error occurs when the null hypothesis is rejected when it is true. Type II error occurs when the null hypothesis is not rejected when it is false. H0 is referred to as the null hypothesis and Ha (or H1) is referred to as the alternative hypothesis.