π² What is sampling?
Big Idea: Sampling means selecting a small group of people to represent the whole market. You can't ask everyone, so you pick a sample and hope their answers reflect the bigger picture! π§βπ€βπ§
Why sample?
- Researching the entire market would be too expensive and slow
- A well-chosen sample can give reliable results
- The bigger and more representative the sample, the better the data
π Types of sampling
Convenience sampling
- Choosing whoever is easiest to reach (e.g. people walking past your shop)
- β Fast and cheap
- β Not representative β results may be biased
Random sampling
- Everyone in the target population has an equal chance of being selected
- β Reduces bias β more representative
- β Can be time-consuming and expensive to organise
Quota sampling
- The researcher sets quotas for specific groups (e.g. 50 men and 50 women)
- β Ensures key groups are represented
- β Selection within each group may still be biased
Stratified sampling
- The population is divided into subgroups, then random samples are taken from each
- β Very representative β reflects the actual market structure
- β Requires detailed knowledge of the population
Get feedback like a real examiner
Submit your answers and get instant feedback β what you did well, what's missing, and exactly what to write to score full marks.
Try AI Tutor Free7-day free trial β’ No card required
π€ Choosing a sampling method
- Low budget and need quick results? β Convenience sampling
- Need unbiased, fair representation? β Random sampling
- Want specific groups represented? β Quota or stratified sampling
- Large target market? β Random or stratified
- Small niche market? β Convenience may be enough
Exam tip: When discussing sampling, always explain WHY that method suits the specific business β don't just describe the method!