Interval Estimation is a statistical technique used to estimate a range of values within which a population parameter, such as a mean or proportion, is likely to fall. This range is called a confidence interval and is calculated from sample data. The interval provides an estimate along with a level of confidence, typically expressed as a percentage, indicating how certain we are that the parameter lies within the interval. For example, if a survey estimates that 60% of people prefer Product A over Product B, the interval might be 55% to 65%. This means we are confident that the true preference in the population lies within this range, allowing for uncertainty in the sample data.