It is when you know that your hypothesis is wrong.
yes
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.
Yes.
To reject null hypothesis, because there is a very low probability (below the significance level) that the observed values would have been observed if the hypothesis were true.
It means that, if the null hypothesis is true, there is still a 1% chance that the outcome is so extreme that the null hypothesis is rejected.
A hypothesis will be rejected if it fails the necessary testing required for it to become a scientific theory.
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
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.
no
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.
there wern't enough facts