In statistical inference, we never truly accept either the null or alternative hypotheses. Instead, based on our analysis, we either have enough evidence to reject (disprove) the null hypothesis or fail to reject it.
Related terms
Significance Level: The predetermined threshold used in hypothesis testing to determine whether we have enough evidence to reject the null hypothesis.
Confidence Interval: A range of values within which we estimate that a parameter lies with a certain level of confidence.
Statistical Power: The probability of correctly rejecting the null hypothesis when it is false, i.e., detecting a true effect or relationship.