1. Statistical inference is the process of drawing conclusions about populations based on sample data. It involves using sample data to estimate population parameters or test hypotheses about populations. 2. There are two main types of statistical inference - estimation and hypothesis testing. Estimation involves calculating point estimates and interval estimates of unknown population parameters. Hypothesis testing involves determining whether sample data provides sufficient evidence to reject or fail to reject claims about populations. 3. Statistical inference allows conclusions to be made about large populations based on representative samples, which would be difficult to study directly. It has important applications in surveys, experiments, and analyzing published sources of data.