The Problem
Random sampling is an important
technique used in statistics. How do you ensure the
sample you choose has a good representation of the
target population? Why does a random mechanism
work?
In this activity, you will use your best judgment by
selecting your very own subjective sample that you
think will represent the population the best.
Then the computer will choose the same number of cases
at random. Your results will be compared with
the random sample. Can you beat the random
mechanism?
Objectives
1. To learn the terms population and sample and
the representation of a population with a sample.
2. To learn the technique of random sampling and
compare with your very own subjective sampling.
3. To learn the difference between population
parameters and sample statistics.
Key Concepts
Population, sample, parameters, statistic, random
sampling, subjective sampling, bias, unbiased and representativeness.
Required Equipment
