When should I use sampling techniques in research?
An example of an AI chatbot conversation about when to use sampling techniques in research.
When should I use sampling techniques in research?
Sampling techniques are used when it's impractical to study an entire population. They help in making inferences.
What are the different types of sampling techniques?
There are several types, including random sampling, stratified sampling, and cluster sampling, each serving different purposes.
How do I choose the right sampling technique for my study?
Consider your research goals, population size, and available resources. Each technique has its strengths and weaknesses.
Can you give an example of when to use stratified sampling?
Stratified sampling is ideal when you want to ensure representation from different subgroups, like age or income levels.
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