What is random sampling and why is it important?

What is random sampling and why is it important?

Random sampling is a technique used in statistics to select a subset of individuals from a larger population. It's important because it helps ensure that the sample is representative of the population, reducing bias and allowing for more accurate conclusions.

Can you give me an example of how random sampling is used in research?

Sure! For instance, if a researcher wants to study the eating habits of teenagers in a city, they might randomly select 100 teenagers from different neighborhoods to ensure a diverse and representative sample.

What are some common methods of random sampling?

Common methods include simple random sampling, stratified sampling, and systematic sampling. Each method has its own advantages depending on the research goals.

How does random sampling help in reducing bias?

Random sampling minimizes selection bias by giving every individual in the population an equal chance of being chosen, which leads to more reliable and valid results.