Interval Estimation

Interval estimation is a statistical method used to determine a range of values within which a population parameter, such as an average or proportion, is likely to fall. Instead of giving a single precise number, it provides an interval (called a confidence interval) that reflects the uncertainty inherent in sampling. For example, a 95% confidence interval for an average height might be 160 to 170 cm, meaning we’re 95% confident the true average height lies within that range. It’s a way to express both estimate and the degree of confidence in that estimate.