This tutorial explains some terminology around data, such as primary & secondary data, microdata and aggregate data.

The tutorial also uses some data from Statistics Canada to make a few charts for the purpose of analysing data.

This tutorial discusses collecting data, two types of experiments: observational and experimental. it further explains how an experimental study works with control and treatment groups.

The tutorial finishes with a short talk about some things to do (and not do) when making survey questions.

This tutorial explains the terms population, sample, sample variability and census. The tutorial also discusses some of the more common sampling methods: simple random sample, systematic random sample, stratified random sample, cluster random sample, multistage random sample, convenience sample and voluntary sample.

This tutorial discusses types of data: numerical and categorical and graphical summaries of this type of data.

This tutorial covers recording data in a frequency table and then displaying it in a stem and leaf plot, bar graphs, pictographs or histograms.

This tutorial discusses the uses and misuses of data.

This tutorial discusses cause and effect relationships.