How can we reduce bias in sampling methods?

How can we reduce bias in sampling methods?

Reducing bias in sampling methods involves using techniques like random sampling, stratified sampling, and ensuring diversity in your sample.

What is random sampling and how does it help?

Random sampling ensures that every individual has an equal chance of being selected, which helps to eliminate selection bias.

Can you explain stratified sampling?

Stratified sampling involves dividing the population into subgroups and sampling from each subgroup to ensure representation.

What are some common biases in sampling?

Common biases include selection bias, non-response bias, and undercoverage, which can all skew results.

How do I identify bias in my sampling process?

You can identify bias by analyzing your sample's demographics compared to the population and checking for any patterns of exclusion.