# What happens if null hypothesis is accepted?

If we accept the null hypothesis,**we are stating that our data are consistent with the null hypothesis**(recognizing that other hypotheses might also be consistent with the data). If we reject the null hypothesis, we are stating that our data are so unexpected that they are inconsistent with the null hypothesis.

## What happens if you fail to reject the null hypothesis?

If we fail to reject the null hypothesis, it does not mean that the null hypothesis is true. That's because a hypothesis test does not determine which hypothesis is true, or even which one is very much more likely.## Why we never accept the null hypothesis?

Why can't we say we “accept the null”? The reason is that we are assuming the null hypothesis is true and trying to see if there is evidence against it. Therefore, the conclusion should be in terms of rejecting the null.## Is the null hypothesis ever accepted?

Does one reject the null hypothesis? In common usage, when one does not reject something, one is accepting it. This seems logical since accept and reject are antonyms (opposites). However, in null hypothesis significance testing, one can never accept the null hypothesis.## What does it mean if a hypothesis is accepted or rejected?

When the null hypothesis is rejected it means the sample has done some statistical work, but when the null hypothesis is accepted it means the sample is almost silent. The behavior of the sample should not be used in favor of the null hypothesis.## Statistical Significance, the Null Hypothesis and P-Values Defined & Explained in One Minute

## What does it mean when hypothesis is accepted?

If the tabulated value in hypothesis testing is more than the calculated value, than the null hypothesis is accepted. Otherwise it is rejected. The last step of this approach of hypothesis testing is to make a substantive interpretation. The second approach of hypothesis testing is the probability value approach.## Is the rejection of a null hypothesis that should be accepted?

Rejecting or failing to reject the null hypothesisIf our statistical analysis shows that the significance level is below the cut-off value we have set (e.g., either 0.05 or 0.01), we reject the null hypothesis and accept the alternative hypothesis.

## What null hypothesis tells us?

The null hypothesis is a typical statistical theory which suggests that no statistical relationship and significance exists in a set of given single observed variable, between two sets of observed data and measured phenomena.## Why is rejecting the null hypothesis a strong conclusion?

The rejection of the null hypothesis H_{0}is a strong statement that H

_{0}does not appear to be consistent with the observed data. The result that H

_{0}is not rejected is a weak statement that should be interpreted to mean that H

_{0}is consistent with the data.