Random Sampling
Random sampling is a method of selecting a sample from a population in such a way that every member of the population has an equal chance of being selected. This is important because it ensures that the sample is representative of the population, and that the results of the study can be generalized to the population as a whole.
There are many different methods of random sampling, but some of the most common include:
- Simple random sampling: This is the most basic form of random sampling. Each member of the population has an equal chance of being selected.
- Systematic sampling: This is a type of random sampling where every kth member of the population is selected.
- Stratified sampling: This is a type of random sampling where the population is divided into strata, and then a random sample is selected from each stratum.
- Cluster sampling: This is a type of random sampling where the population is divided into clusters, and then a random sample of clusters is selected.
MCQs on Random Sampling
- What is random sampling?
- A method of selecting a sample from a population in such a way that every member of the population has an equal chance of being selected
- A method of selecting a sample from a population in such a way that the sample is representative of the population
- A method of selecting a sample from a population in such a way that the results of the study can be generalized to the population as a whole
- All of the above
The correct answer is: All of the above.
- What are the different methods of random sampling?
- Simple random sampling
- Systematic sampling
- Stratified sampling
- Cluster sampling
The correct answer is: Simple random sampling, systematic sampling, stratified sampling, and cluster sampling.
- What is the advantage of random sampling?
- It ensures that the sample is representative of the population
- It ensures that the results of the study can be generalized to the population as a whole
- It is a relatively simple method to implement
- All of the above
The correct answer is: All of the above.
Tips for Random Sampling
- Make sure that the population is well-defined.
- Make sure that the sampling frame is accurate and up-to-date.
- Use a random number generator to select the sample.
- Verify that the sample is representative of the population.