Sampling is a technique used in research to select a small group from a larger population to represent the whole. It’s like taking a taste test from a big pot of soup to understand the overall flavor. This method saves time and resources while providing insights about the entire group.
Also See: Data Collection PPT: Meaning, Methods, Steps, Importance
Sampling PPT: Meanings, Methods, Importance, Examples
There are different types of sampling, such as random sampling, where every individual has an equal chance of being chosen, and stratified sampling, where the population is divided into subgroups before sampling. Good sampling ensures that the selected group accurately reflects the diversity and characteristics of the larger population.
Also See: Data Collection Methods PPT: Primary and Secondary
Table of Content for Sampling PPT
- Sampling
- Example
- Why Sampling is Needed
- Sample Frame
- Population Characteristics
- Samplıng Methods Or Types
- Difference between probability sampling and non-probability sampling methods
- Conclusion
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