What is Random Sampling?
Random sampling is a technique in which every individual in a population has an equal chance of being selected for a study. It minimises bias and helps ensure that results represent the entire population accurately.
Types of Random Sampling
- Simple Random Sampling: Every individual is chosen purely by chance.
- Stratified Sampling: Population is divided into groups, and samples are taken from each group.
- Systematic Sampling: Selecting every nth individual from a list.
- Cluster Sampling: Randomly selecting groups instead of individuals.
Why It Matters
- Reduces sampling bias.
- Improves accuracy of results.
- Allows generalisation of findings.
Applications
- Opinion polls and market research.
- Educational and medical studies.
Summary
Random sampling ensures fairness, accuracy, and objectivity in research. It forms the foundation of reliable, statistically valid results.