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Sagot :
Answer:
This blog discusses sample procedures and potential sampling mistakes to avoid while performing medical research, with examples.
Explanation:
Choose a representative sample from all of the houses. Avoid selecting samples that might lead to skewed results. You should pick your sample of respondents using probability sampling to reduce bias. The selection technique determines bias, not the sample size.
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Answer:
In research design, population and sampling are two important terms. A population is a group of individuals that share common connections. A sample is a subset of the population. The sample size is the number of individuals in a sample. The more representative the sample of thepopulation, the more confident the researcher can be in the quality of the results.
A researcher might want to study the adverse health effects associated with working in a coal mine. However, it would be impossible to study a large population of coal workers. So, the researcher would need to narrow down the population and build a sample to collect data. This sample might be a group of coal workers in one city.
Types of Sampling Methods
- Probability Sampling
- Non-probability Sampling
Explanation:
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