What are sampling techniques in research?
An example of an AI chatbot conversation about sampling techniques in research.
What are sampling techniques in research?
Sampling techniques are methods used to select a subset of individuals from a population to estimate characteristics of the whole population.
Can you explain the different types of sampling techniques?
Sure! There are two main categories: probability sampling (like random sampling) and non-probability sampling (like convenience sampling).
What is the difference between random sampling and stratified sampling?
Random sampling selects individuals randomly, while stratified sampling divides the population into subgroups and samples from each.
When should I use non-probability sampling?
Non-probability sampling is useful when you need quick results or when the population is hard to access.
Can you give an example of convenience sampling?
Sure! An example of convenience sampling is surveying people at a mall because they are easily accessible.
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