Review:
Sampling Methods
overall review score: 4.2
⭐⭐⭐⭐⭐
score is between 0 and 5
Sampling methods refer to the techniques used to select a subset of a population in order to study or make inferences about the whole population.
Key Features
- Random sampling
- Stratified sampling
- Systematic sampling
- Cluster sampling
- Convenience sampling
Pros
- Allows for accurate representation of a population without having to study everyone
- Can save time and resources compared to studying the entire population
Cons
- May introduce bias if not executed properly
- Results may not be generalizable to the entire population if sampling is not done carefully