distinguish between random sampling and systematic sampling give suitable examples
Answers
Under simple random sampling, a sample of items is chosen randomly from a population, and each item has an equal probability of being chosen. Simple random sampling uses a table of random numbers or an electronic random number generator to select items for its sample.
Systematic sampling involves selecting items from an ordered population using a skip or sampling interval. The use of systematic sampling is more appropriate compared to simple random sampling when a project's budget is tight and requires simplicity in execution and understanding the results of a study. Systematic sampling is better than random sampling when data does not exhibit patterns and there is a low risk of data manipulation by a researcher.
Answer is given below
Explanation:
- In a simple random sample, each sample of size n has equal probability to be included. The clusters to be added are randomly selected and then the members of each selected cluster are added.
- Only possible models, including each kth item from a random starting point, are possible.
- A simple random sample consists of random samples from each level.
- systematic sampling each sample of size n is added equally. Only possible models, including each item from a random starting point, are possible.
- The clusters to be added are randomly selected and then the members of each selected cluster are added.
- In a systematic sampling , random samples from each level are included.
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random sampling and systematic sampling
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