We sample because we generally can't collect data from the entire population due to time and the cost.
The three most common types of sampling are simple random, cluster and stratified
On census at school there are a few data sets that you can use as "populations" from which students can grab a handful (a sample)
Students can use these to take random samples from the "population" and make "dot" plots on their desks
Sampling error arises due to the variability that occurs by chance because a random sample, rather than an entire population, is surveyed. Non-sampling error is all error that is not sampling error.
Explore the census at School data after taking part in the survey. This way the student are part of the data.
More on datacards from Anna Fergusson