Interval estimation tries to discover values for an unknown parameter that are consistent with sample data that have been collected.
Hypothesis testing is a related type of inference that asks whether some particular values for the parameters are consistent with the sample data. As with estimation, any conclusions that are drawn from a sample can be in error, so the reliability of the inference must be understood and quantified.