## What is the acceptance or rejection of a hypothesis called?

The subset that is considered to be consistent with the null hypothesis is called the “acceptance region”; another subset is called the “rejection region” (or “critical region”). If the sample outcome falls into the acceptance region, then the null hypothesis is accepted.

**How do you know if you should accept or reject the null hypothesis?**

Support or reject null hypothesis? If the P-value is less, reject the null hypothesis. If the P-value is more, keep the null hypothesis. 0.003 < 0.05, so we have enough evidence to reject the null hypothesis and accept the claim.

**Why can an accepted hypothesis be rejected at a later date?**

An accepted hypothesis can be rejected later on because of an experiment to test the hypothesis. Which causes the hypothesis to change and have a new prediction. During a scientific experiment the predicted outcome may change which is okay, but the hypothesis must change too.

### What increases the chances of rejecting null hypothesis?

If other factors are held constant, then increasing the sample size will increase the likelihood of rejecting the null hypothesis.

**What does ‘fail to reject’ means in a hypothesis test?**

All it means is that the null hypothesis has not been disproven-hence the term “failure to reject.” A “failure to reject” a hypothesis should not be confused with acceptance. In mathematics, negations are typically formed by simply placing the word “not” in the correct place.

**Are hypothesis often rejected?**

Upon analysis of the results, a hypothesis can be rejected or modified, but it can never be proven to be correct 100 percent of the time. For example, relativity has been tested many times, so it is generally accepted as true, but there could be an instance, which has not been encountered, where it is not true.