# What happens when a hypothesis is rejected?

## What happens when a hypothesis is rejected?

If there is less than a 5% chance of a result as extreme as the sample result if the null hypothesis were true, then the null hypothesis is rejected. When this happens, the result is said to be statistically significant .

## What does it mean when the null hypothesis is accepted?

If you really did a hypothesis test (what I doubt, however) then “accepting the null hypothesis” means that “you should act as if the null hypothesis was true” (whatever this practically means should follow from the context and the research question).

**What happens when you reject a true null hypothesis?**

If we reject the null hypothesis, we are stating that our data are so unexpected that they are inconsistent with the null hypothesis. Our decision will change our behavior. If we reject the null hypothesis, we will act as if the null hypothesis is false, even though we do not know if that is in fact false.

### When the null hypothesis is rejected it is possible quizlet?

A null hypothesis is rejected when the P-value is less than the level of significance, α. Therefore, if the null hypothesis would be rejected with a level of significance of α, then the P-value is less than α. In this problem, since the null hypothesis is rejected, the P-value is less than α = 0.05.

### When the null hypothesis is true the rejection probability is called?

The probability of committing a type I error (rejecting the null hypothesis when it is actually true) is called α (alpha) the other name for this is the level of statistical significance.

**How do you reject or accept the null hypothesis?**

Rejecting or failing to reject the null hypothesis If 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.

#### Why null hypothesis is not accepted?

A null hypothesis is not accepted just because it is not rejected. Data not sufficient to show convincingly that a difference between means is not zero do not prove that the difference is zero.

#### What do it mean to reject the null hypothesis quizlet?

-reject the null hypothesis if the test statistic falls in the specified region of the sampling distribution of the test statistic otherwise do not reject the null hypothesis. -rejecting null hypothesis means scientific hypothesis is true. T statistic. -mean of single population. – population of sd is unknown.

**What is the outcome when a null hypothesis has been rejected and the null hypothesis is true quizlet?**

When the null hypothesis is rejected, we reach significance. When the null hypothesis is retained, we fail to reach significance. The probability of obtaining a sample outcome, given that the value stated in the null hypothesis is true. Compared to the level of significance.

## What type of error is made when a true null hypothesis is rejected?

In statistical analysis, a type I error is the rejection of a true null hypothesis, whereas a type II error describes the error that occurs when one fails to reject a null hypothesis that is actually false.

## What can be concluded by failing to reject the null hypothesis?

Consequently, we fail to reject it. Failing to reject the null indicates that our sample did not provide sufficient evidence to conclude that the effect exists. However, at the same time, that lack of evidence doesn’t prove that the effect does not exist.

**Why do we reject the null hypothesis when the p-value is small?**

a small p-value means: assuming H0 is true, it is extremely hard to obtain the observed result from our sample, which means: 1) Null hypothesis H0 is false OR 2) Our sample was not drawn from null population. Either way, we reject H0.