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Designed by Zeptt Technologies
Designed by Zeptt Technologies
DEFINITION OF SAMPLE
A sample is a subset of individuals or items selected from a larger population. It is used in research to make inferences about the entire population without studying every member.
Example: If the population is all BAMS students in India, a sample could be 200 students selected from five different colleges.
UNDERSTANDING SAMPLING
sampling is the process of selecting a portion (sample) from the population to represent the whole. It is done to save time, cost, and effort while still obtaining valid results.
TYPES OF SAMPLING METHODS
1. PROBABILITY SAMPLING
Each member of the population has a known, non-zero chance of being selected.
Examples include:
Simple Random Sampling – Every member has an equal chance.
Stratified Sampling – Population is divided into strata (groups), and samples are taken from each.
Systematic Sampling – Every nth member is chosen.
Cluster Sampling – Clusters (groups) are randomly selected instead of individuals.
2. NON-PROBABILITY SAMPLING
Not every member has a known chance of being selected.
Examples include:
Convenience Sampling – Selection based on ease of access.
Purposive Sampling – Based on the judgment of the researcher.
Snowball Sampling – Existing participants refer new ones.
DIFFERENCE BETWEEN POPULATION AND SAMPLE
| CRITERIA | POPULATION | SAMPLE |
|---|---|---|
| Definition | Entire group under study | Subset of the population |
| Size | Usually large | Smaller and manageable |
| Data collection | More time-consuming and costly | Less time and cost involved |
| Purpose | Basis for generalization | Used to draw conclusions about the population |
| Example | All BAMS students in India | 100 BAMS students from selected colleges |
