Understanding Equiprobability in Sampling
The question asks for the term that describes when every unit in a population has an equal chance of being selected for a sample. This is a fundamental concept in statistical sampling.
Defining Equiprobability Selection
Equiprobability means that each individual item or unit within the entire group (the universe or population) has the exact same likelihood of being chosen.
Analyzing Sampling Methods
- Random Sampling: This is the core definition. In random sampling, every unit has an equal and independent chance of being selected. Techniques like simple random sampling, systematic sampling (with random start), stratified random sampling, and cluster sampling all fall under this umbrella and aim to maintain equiprobability at some level.
- Convenience Sampling: This method selects units that are easiest to reach. The selection is based on convenience, not equal probability. Some units have zero chance of being selected.
- Purposive Sampling: Here, the researcher handpicks units based on specific characteristics or knowledge. The selection is deliberate and not based on equal chances for all units.
- Double Sampling: This involves using information from a first sample to refine the selection of a second, more detailed sample. While the initial selection might be random, the defining feature isn't the equiprobability of the entire universe in one go.
Conclusion
Based on the definition, Random Sampling is the technique that guarantees the equiprobability of selection for every unit in the universe.
Correct Option: 1. Random Sampling
Important Questions from Methods of sampling - Teaching
- Which of the following holds true to probability sampling in any research design?
A. Every item of the universe has equal chance of inclusion
B. There is always the danger of bias
C. Sample has same composition and characteristic as that of universe
D. Sample selection is based on researcher's convenience
E. Individual units can be selected by lottery method
Choose the most appropriate answer from the options given below : - Given below are two statements: one is labelled as Assertion A and the other is labelled as Reason R
Assertion A: Probability sampling is appropriate for quantitative research.
Reason R: Probability sampling helps in reducing bias in the selection of samples.
In the light of the above statements, choose the most appropriate answer from the options given below - In case study research the most common form of sampling is -
Arrange the following steps of Sampling Design Process in correct order :
A. Determine the sample size
B. Select a sampling technique
C. Selection of sampling frame
D. Target Population definitions
Choose the correct answer from the options given below :
Which of the following statements are true in the context of sampling ?
A. Purposive sampling is probability sampling
B. Snowball sampling is based upon sociometry
C. 'G' power is used to estimate sample size
D. Sampling error increases with sample size
E. Standard deviation of sampling distribution is sampling error
Choose the correct answer from the options given below :
