In which conditions can the null hypothesis be rejected?

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.

How do you accept or reject a hypothesis?

If the P-value is less than or equal to the significance level, we reject the null hypothesis and accept the alternative hypothesis instead. If the P-value is greater than the significance level, we say we “fail to reject” the null hypothesis. We never say that we “accept” the null hypothesis.

What does rejecting the null hypothesis mean?

After a performing a test, scientists can: Reject the null hypothesis (meaning there is a definite, consequential relationship between the two phenomena), or. Fail to reject the null hypothesis (meaning the test has not identified a consequential relationship between the two phenomena)

When the null hypothesis is not rejected it is quizlet?

If the null hypothesis is not rejected, there is strong statistical evidence that the null hypothesis is true. A type II error is made by failing to reject a false null hypothesis. You just studied 9 terms!

How do you reject the null hypothesis with p-value?

If the p-value is less than 0.05, we reject the null hypothesis that there’s no difference between the means and conclude that a significant difference does exist. If the p-value is larger than 0.05, we cannot conclude that a significant difference exists.