Seven bite-sized topics take you from the definition of statistics through sampling, data organisation, and measurement scales.
Definition, evolution of the field, and the partnership between descriptive and inferential statistics.
Build intuition about sampling frames, representativeness, and practical sampling methods.
When to describe, when to infer, and how both support decision making.
Understand what counts as data, why it is collected, and the difference between structured and unstructured formats.
Create tidy tables, maintain data dictionaries, and enforce quality checks.
Differentiate categorical, discrete, and continuous variables and choose suitable visualisations.
Apply the four classical scales and recap the entire week with reflection prompts.