This document discusses two types of statistical estimation: point estimation and interval estimation. Point estimation uses a single value like the sample mean or proportion to estimate an unknown population parameter. Interval estimation constructs a range of values called a confidence interval that is likely to contain the true population parameter value with a given level of confidence, such as 95%. Examples are given of using point estimates to estimate average tree height and constructing a 95% confidence interval for a population mean using sample data.