How does simple random sampling reduce bias?

Can you explain how simple random sampling helps reduce bias in research studies?

Sure! Simple random sampling ensures that every individual in a population has an equal chance of being selected, which helps to eliminate selection bias.

What are some examples of bias that can occur without random sampling?

Without random sampling, biases like selection bias, non-response bias, and confirmation bias can skew results, leading to inaccurate conclusions.

How does this method compare to stratified sampling?

Stratified sampling divides the population into subgroups and samples from each, which can reduce bias more effectively in heterogeneous populations.

Are there any limitations to simple random sampling?

Yes, it can be impractical for large populations and may not capture rare subgroups effectively, potentially leading to underrepresentation.

Can you give me a real-world example of simple random sampling?

Certainly! A common example is conducting a survey where every member of a community has an equal chance of being selected to participate.