What is random sampling?
An example of an AI chatbot conversation about random sampling techniques.
Can you explain what random sampling is?
Sure! Random sampling is a technique used in statistics to select a subset of individuals from a larger population, where each individual has an equal chance of being chosen.
Why is random sampling important in research?
It's important because it helps ensure that the sample is representative of the population, reducing bias and allowing for more accurate conclusions.
What are some common methods of random sampling?
Common methods include simple random sampling, stratified sampling, and systematic sampling. Each has its own advantages depending on the research goals.
Can you give an example of how to conduct random sampling?
Certainly! For example, if you have a list of 1,000 students, you could use a random number generator to select 100 students for your study.
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