Estimating parameters

Because of the limited amount of sample data available, we usually restrict attention to a few specific numerical characteristics of the population distribution — parameters.

After identifying the population parameters that are of most interest — for example the distribution's mean, µ, or the proportion of values in a category, π, — we can usually estimate these values using the corresponding summary statistics from the sample. This is called inference about the parameter.