Review:
Random Sampling Techniques
overall review score: 4.5
⭐⭐⭐⭐⭐
score is between 0 and 5
Random sampling techniques refer to a variety of methods used in statistics to select a subset of individuals from a larger population in a way that each individual has an equal chance of being chosen.
Key Features
- Simple random sampling
- Stratified sampling
- Systematic sampling
- Cluster sampling
Pros
- Helps in reducing bias and ensuring representativeness of the sample
- Easy to implement and understand
- Allows for generalizability of findings
Cons
- Can be time-consuming especially for large populations
- Requires knowledge about the population being sampled