Collecting Your Data
In this section we will look at some fundamentals that need to be understood in order to collect and analyse data. This will include population vs sample, sample sizes, sampling techniques, types of data and what to do with outliers.
Populations & Samples
Usually it is not practical to question everyone or record everything in a population, so a sample is chosen – a smaller group that belongs to the population. This section explains the differences between...
Potential Sampling Biases
Each method of choosing a sample from a population has potential biases. This section explains the process, advantages and disadvantages of each method.
Types of Data
Once you have decided how you will isolate your sample, you need to start collecting data from it. This section defines the different types of data you might collect.
Outliers in your Data
Outliers are unusual values in your data. Unfortunately, there are no strict statistical rules for identifying them. But this section gives some guidelines and statistical tests you can use to identify...