Categorical, discrete and continuous data, survey design, audience and purpose

What this note covers

1. Deciding what kind of data you are holding
2. Categorical data: nominal and ordinal
3. Numerical data: discrete and continuous
4. Purpose and audience before a single number is collected
5. Writing survey questions that produce usable data
6. Populations, samples and the ways a sample goes wrong
7. Turning raw responses into an organised data set
8. How this topic is examined, and what separates a top-band answer

8 sections · 12 key terms & formulas · 6 common mistakes