Population distributions are rigid for variation in variation
but sampling distributions are adaptive in variation in
variation.
Depending on the sampling method, a sample can have fewer
observations than the population, the same number of observations,
or more observations. More than one sample can be derived from the
same population.
A measurable characteristic of a population is called a
parameter, but a measurable characteristic of a sample is called a
statistic.