When your p-value is less than or equal to your significance level, you reject the null hypothesis. The data favors the alternative hypothesis. ... Your results are statistically significant. When your p-value is greater than your significance level, you fail to reject the null hypothesis.

What does it mean if your null 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 .

Is the null hypothesis Ho rejected?

The rejection of the null hypothesis H₀ is a strong statement that H₀does not appear to be consistent with the observed data. ... The classical procedure for testing a null hypothesis is to fix a small significance level α and then require that the probability of rejecting H₀ when H₀ is true is less than or equal to α.