Review:
Sampling Techniques
overall review score: 4.5
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score is between 0 and 5
Sampling techniques refer to the methods used by researchers to select a subset of individuals or items from a larger population for study, in order to draw conclusions about the population as a whole.
Key Features
- Random sampling
- Systematic sampling
- Stratified sampling
- Cluster sampling
Pros
- Helps researchers gather data efficiently
- Allows for making inferences about a larger population
- Can be cost-effective compared to studying the entire population
Cons
- Risk of sampling bias affecting results
- May not always accurately represent the entire population