We fail to reject the null hypothesis when the p-value is greater than or equal to the level of significance (alpha). In other words, if the calculated p-value is greater than the threshold value of alpha that we have set, then we do not have enough evidence to reject the null hypothesis. This means that we cannot reject the possibility that the observed effect is due to chance or random variation.