Point estimation is a statistical technique used to provide a single value, known as a "point estimate," that serves as the best guess for an unknown parameter of a population. For example, if researchers want to estimate the average height of all adults in a city, they might take a sample and calculate the average height from that sample. This average becomes the point estimate for the population's average height. The accuracy of a point estimate can be influenced by the sample size and the method of sampling. While point estimates are useful for providing a quick summary, they do not convey information about the uncertainty or variability associated with the estimate. To address this, statisticians often use confidence intervals or other methods to provide a range of values around the point estimate, giving a clearer picture of the estimate's reliability.