Hypothesis Testing: Hypothesis testing is used in inferential statistics to determine if there is enough evidence to support or reject a claim about a population parameter.
Confidence Interval: A confidence interval provides an estimated range of values which is likely to contain the true population parameter with a certain level of confidence.
Sampling Error: Sampling error refers to the difference between sample statistics and population parameters due to random sampling variability.